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| clinical trial supply optimization: Supply Chain Planning for Clinical Trials Ryan Mills, 2024-07-03 Ensure your clinical trial supply chain is running smoothly with this practical guide Clinical trials are a critical part of the pharmaceutical development process. These trials cannot proceed without timely and regular receipt of the drugs being tested, which can prove a challenge for drug manufacturers who have not yet established the structures required to produce quality-controlled specimens of the drug at scale. Managing supply chains of pre-production drugs for clinical trials is therefore an essential component of drug development. Supply Chain Planning for Clinical Trials offers a practical introduction to this process for researchers and industry professionals. Beginning with the basics of clinical trial supply chain management, it proceeds step by step through all aspects of demand and supply planning for clinical trials. The result is a thorough overview that also offers practical examples of how to plan supply for clinical trials. Supply Chain Planning for Clinical Trials readers will also find: Tools for minimizing risk and expense by optimizing the relationship between supply and demand Detailed discussion of topics including quality and regulatory considerations and the business processes that support clinical trial supply chain management Spreadsheet-based models to illustrate key concepts, adaptable to the readers’ specific scenarios Supply Chain Planning for Clinical Trails is ideal for pharmaceutical industry professionals involved in clinical trial supply planning, as well as academics and researchers interested in the pharmaceutical industry and its logistics. |
| clinical trial supply optimization: Supply Chain Planning for Clinical Trials Ryan Mills, 2024-08-13 Ensure your clinical trial supply chain is running smoothly with this practical guide Clinical trials are a critical part of the pharmaceutical development process. These trials cannot proceed without timely and regular receipt of the drugs being tested, which can prove a challenge for drug manufacturers who have not yet established the structures required to produce quality-controlled specimens of the drug at scale. Managing supply chains of pre-production drugs for clinical trials is therefore an essential component of drug development. Supply Chain Planning for Clinical Trials offers a practical introduction to this process for researchers and industry professionals. Beginning with the basics of clinical trial supply chain management, it proceeds step by step through all aspects of demand and supply planning for clinical trials. The result is a thorough overview that also offers practical examples of how to plan supply for clinical trials. Supply Chain Planning for Clinical Trials readers will also find: Tools for minimizing risk and expense by optimizing the relationship between supply and demand Detailed discussion of topics including quality and regulatory considerations and the business processes that support clinical trial supply chain management Spreadsheet-based models to illustrate key concepts, adaptable to the readers’ specific scenarios Supply Chain Planning for Clinical Trails is ideal for pharmaceutical industry professionals involved in clinical trial supply planning, as well as academics and researchers interested in the pharmaceutical industry and its logistics. |
| clinical trial supply optimization: Supply Chain Management in the Drug Industry Hedley Rees, 2011-04-06 This book bridges the gap between practitioners of supply-chain management and pharmaceutical industry experts. It aims to help both these groups understand the different worlds they live in and how to jointly contribute to meaningful improvements in supply-chains within the globally important pharmaceutical sector. Scientific and technical staff must work closely with supply-chain practitioners and other relevant parties to help secure responsive, cost effective and risk mitigated supply chains to compete on a world stage. This should not wait until a drug has been registered, but should start as early as possible in the development process and before registration or clinical trials. The author suggests that CMC (chemistry manufacturing controls) drug development must reset the line of sight – from supply of drug to the clinic and gaining a registration, to the building of a patient value stream. Capable processes and suppliers, streamlined logistics, flexible plant and equipment, shorter cycle times, effective flow of information and reduced waste. All these factors can and should be addressed at the CMC development stage. |
| clinical trial supply optimization: 20th European Symposium of Computer Aided Process Engineering Sauro Pierucci, G. Buzzi Ferraris, 2010-06-03 ESCAPE-20 is the most recent in a series of conferences that serves as a forum for engineers, scientists, researchers, managers and students from academia and industry to present and discuss progress being made in the area of Computer Aided Process Engineering (CAPE). CAPE covers computer-aided methods, algorithms and techniques related to process and product engineering. The ESCAPE-20 scientific program reflects the strategic objectives of the CAPE Working Party: to check the status of historically consolidated topics by means of their industrial application and to evaluate their emerging issues. - Includes a CD that contains all research papers and contributions - Features a truly international scope, with guest speakers and keynote talks from leaders in science and industry - Presents papers covering the latest research, key topical areas, and developments in computer-aided process engineering (CAPE) |
| clinical trial supply optimization: Principles and Practice of Clinical Trials Steven Piantadosi, Curtis L. Meinert, 2022-07-19 This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference. |
| clinical trial supply optimization: Introduction to Quality by Design (QbD) N. K. Jain, |
| clinical trial supply optimization: Practical Considerations for Adaptive Trial Design and Implementation Weili He, José Pinheiro, Olga M. Kuznetsova, 2014-10-15 This edited volume is a definitive text on adaptive clinical trial designs from creation and customization to utilization. As this book covers the full spectrum of topics involved in the adaptive designs arena, it will serve as a valuable reference for researchers working in industry, government and academia. The target audience is anyone involved in the planning and execution of clinical trials, in particular, statisticians, clinicians, pharmacometricians, clinical operation specialists, drug supply managers, and infrastructure providers. In spite of the increased efficiency of adaptive trials in saving costs and time, ultimately getting drugs to patients sooner, their adoption in clinical development is still relatively low. One of the chief reasons is the higher complexity of adaptive design trials as compared to traditional trials. Barriers to the use of clinical trials with adaptive features include the concerns about the integrity of study design and conduct, the risk of regulatory non-acceptance, the need for an advanced infrastructure for complex randomization and clinical supply scenarios, change management for process and behavior modifications, extensive resource requirements for the planning and design of adaptive trials and the potential to relegate key decision makings to outside entities. There have been limited publications that address these practical considerations and recommend best practices and solutions. This book fills this publication gap, providing guidance on practical considerations for adaptive trial design and implementation. The book comprises three parts: Part I focuses on practical considerations from a design perspective, whereas Part II delineates practical considerations related to the implementation of adaptive trials. Putting it all together, Part III presents four illustrative case studies ranging from description and discussion of specific adaptive trial design considerations to the logistic and regulatory issues faced in trial implementation. Bringing together the expertise of leading key opinion leaders from pharmaceutical industry, academia, and regulatory agencies, this book provides a balanced and comprehensive coverage of practical considerations for adaptive trial design and implementation. |
| clinical trial supply optimization: Discrete and Continuous Simulation Susmita Bandyopadhyay, Ranjan Bhattacharya, 2014-06-25 When it comes to discovering glitches inherent in complex systems—be it a railway or banking, chemical production, medical, manufacturing, or inventory control system—developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the original. Advantageous to both academic and industrial practitioners, Discrete and Continuous Simulation: Theory and Practice offers a detailed view of simulation that is useful in several fields of study. This text concentrates on the simulation of complex systems, covering the basics in detail and exploring the diverse aspects, including continuous event simulation and optimization with simulation. It explores the connections between discrete and continuous simulation, and applies a specific focus to simulation in the supply chain and manufacturing field. It discusses the Monte Carlo simulation, which is the basic and traditional form of simulation. It addresses future trends and technologies for simulation, with particular emphasis given to .NET technologies and cloud computing, and proposes various simulation optimization algorithms from existing literature. Includes chapters on input modeling and hybrid simulation Introduces general probability theory Contains a chapter on Microsoft® ExcelTM and MATLAB®/Simulink® Discusses various probability distributions required for simulation Describes essential random number generators Discrete and Continuous Simulation: Theory and Practice defines the simulation of complex systems. This text benefits academic researchers in industrial/manufacturing/systems engineering, computer sciences, operations research, and researchers in transportation, operations management, healthcare systems, and human–machine systems. |
| clinical trial supply optimization: Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition , 2013-05-01 Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Chemical Modeling. The editors have built Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Chemical Modeling in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/. |
| clinical trial supply optimization: Global Clinical Trials Playbook Menghis Bairu, Richard Chin, 2012-06-12 Pharmaceuticals companies, biotech companies, and CROs, regardless of size, all face the same challenge of managing costs and operational execution associated with bringing a valuable drugs and devices to market. Because of timeline pressures and cost as well as the growing interest in neglected diseases and diseases affecting the emerging nations, clinical trials are increasingly conducted in emerging markets and developing countries where infrastructure, leadership, skilled personnel and a governance are at a premium. Working with academics, regulatory professionals, safety officers, experts from the pharma industry and CROs, the editors have put together this up-to-date, step-by-step guide book to building and enhancing global clinical trial capacity in emerging markets and developing countries. This book covers the design, conduct, and tools to build and/or enhance human capacity to execute such trials, appealing to individuals in health ministries, pharmaceutical companies, world health organizations, academia, industry, and non-governmental organizations (NGOs) who are managing global clinical trials. - Gives medical professionals the business tools needed to effectively execute clinical trials throughout the world - Provides real world international examples which illustrate the practical translation of principles - Includes forms, templates, and additional references for standardization in a number of global scenarios |
| clinical trial supply optimization: Intelligent Optimization Techniques for Business Analytics Bansal, Sanjeev, Kumar, Nitendra, Agarwal, Priyanka, 2024-04-15 Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. |
| clinical trial supply optimization: Using Strategy Analytics for Business Value Creation and Competitive Advantage Kautish, Sandeep Kumar, 2024-07-26 In the field of strategic management and business intelligence, a formidable challenge is presentconventional decision-making processes, heavily reliant on internal and external reports, struggle to meet the demands of this data-driven era. As organizations grapple with the increasing influx of data, the imperative for a strategic shift becomes undeniably apparent. Using Strategy Analytics for Business Value Creation and Competitive Advantage helps to guide leaders in extracting value, structuring complex problems, and crafting robust business strategies. Scholars and industry experts alike will find within the pages of this comprehensive guide a roadmap to navigate the intersection of organizational strategy and analytics, ultimately unlocking the key to business brilliance. Using Strategy Analytics for Business Value Creation and Competitive Advantage stands as a testament to the commitment to addressing the prevailing challenges in strategic decision-making. Tailored for researchers, academicians, industry experts, and scholars, the book delves into the intricacies of strategy analytics, offering transformative insights for those seeking a competitive edge in the evolving business landscape. Capturing the essence of this exploration, the transformative potential of strategy analytics is encapsulated in this valuable resource. |
| clinical trial supply optimization: AI-Powered Productivity Dr. Asma Asfour, 2024-07-29 This book, AI-Powered Productivity, aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts. |
| clinical trial supply optimization: Global Clinical Trials Richard Chin, Menghis Bairu, 2011-05-06 This book will explore the great opportunities and challenges which exist in conducting clinical trials in developing countries. By exploring the various regulations specific to the major players and providing insight into the logistical challenges including language barriers, this book provides a working tool for clinical researchers and administrators to navigate the intricacies of clinical trials in developing countries. Important topics such as ethical issues will be handled very carefully to highlight the significant differences of conducting this work in various jurisdictions. Overall, it will present a clear and comprehensive guide to the ins-and-outs of clinical trials in various countries to assist in design, development, and effectiveness of these trials. - Contributors include high-profile, respected figures who have paved the way for clinical trials in developing countries - Provides hands-on tools for regulatory and legal requirements and qualification, design, management, and reporting - Case studies outline successes, failures, lessons learned and prospects for future collaboration - Includes country-specific guidelines for the most utilized countries - Foreword by David Feigel, former Head of CDRH at FDA |
| clinical trial supply optimization: Using Traditional Design Methods to Enhance AI-Driven Decision Making Nguyen, Tien V. T., Vo, Nhut T. M., 2024-01-10 In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials. |
| clinical trial supply optimization: Process Systems Engineering for Pharmaceutical Manufacturing Ravendra Singh, Zhihong Yuan, 2018-03-16 Process Systems Engineering for Pharmaceutical Manufacturing: From Product Design to Enterprise-Wide Decisions, Volume 41, covers the following process systems engineering methods and tools for the modernization of the pharmaceutical industry: computer-aided pharmaceutical product design and pharmaceutical production processes design/synthesis; modeling and simulation of the pharmaceutical processing unit operation, integrated flowsheets and applications for design, analysis, risk assessment, sensitivity analysis, optimization, design space identification and control system design; optimal operation, control and monitoring of pharmaceutical production processes; enterprise-wide optimization and supply chain management for pharmaceutical manufacturing processes. Currently, pharmaceutical companies are going through a paradigm shift, from traditional manufacturing mode to modernized mode, built on cutting edge technology and computer-aided methods and tools. Such shifts can benefit tremendously from the application of methods and tools of process systems engineering. - Introduces Process System Engineering (PSE) methods and tools for discovering, developing and deploying greener, safer, cost-effective and efficient pharmaceutical production processes - Includes a wide spectrum of case studies where different PSE tools and methods are used to improve various pharmaceutical production processes with distinct final products - Examines the future benefits and challenges for applying PSE methods and tools to pharmaceutical manufacturing |
| clinical trial supply optimization: Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World Bernard Grabot, Bruno Vallespir, Gomes Samuel, Abdelaziz Bouras, Dimitris Kiritsis, 2014-08-26 The three volumes IFIP AICT 438, 439, and 440 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2014, held in Ajaccio, France, in September 2014. The 233 revised full papers were carefully reviewed and selected from 271 submissions. They are organized in 6 parts: knowledge discovery and sharing; knowledge-based planning and scheduling; knowledge-based sustainability; knowledge-based services; knowledge-based performance improvement, and case studies. |
| clinical trial supply optimization: Managing Biotechnology Francoise Simon, Glen Giovannetti, 2017-10-16 A comprehensive overview of the new business context for biopharma companies, featuring numerous case studies and state-of-the-art marketing models Biotechnology has developed into a key innovation driver especially in the field of human healthcare. But as the biopharma industry continues to grow and expand its reach, development costs are colliding with aging demographics and cost-containment policies of private and public payers. Concurrently, the development and increased affordability of sophisticated digital technologies has fundamentally altered many industries including healthcare. The arrival of new information technology (infotech) companies on the healthcare scene presents both opportunities and challenges for the biopharma business model. To capitalize on new digital technologies from R&D through commercialization requires industry leaders to adopt new business models, develop new digital and data capabilities, and partner with innovators and payers worldwide. Written by two experts, both of whom have had decades of experience in the field, this book provides a comprehensive overview of the new business context and marketing models for biotech companies. Informed by extensive input by senior biotech executives and leading consultancies serving the industry, it analyzes the strategies and key success factors for the financing, development, and commercialization of novel therapeutic products, including strategies for engagement with patients, physicians and healthcare payers. Throughout case studies provide researchers, corporate marketers, senior managers, consultants, financial analysts, and other professionals involved in the biotech sector with insights, ideas, and models. JACQUALYN FOUSE, PhD, RETIRED PRESIDENT AND CHIEF OPERATING OFFICER, CELGENE “Biotech companies have long been innovators, using the latest technologies to enable cutting edge science to help patients with serious diseases. This book is essential to help biotech firms understand how they can–and must–apply the newest technologies including disruptive ones, alongside science, to innovate and bring new value to the healthcare system.” BRUCE DARROW, MD, PhD, CHIEF MEDICAL INFORMATION OFFICER, MOUNT SINAI HEALTH SYSTEM “Simon and Giovannetti have written an essential user’s manual explaining the complicated interplay of the patients who deserve cutting-edge medical care, the biotechnology companies (big and small) creating the breakthroughs, and the healthcare organizations and clinicians who bridge those worlds.” EMMANUEL BLIN, FORMER CHIEF STRATEGY OFFICER AND SENIOR VICE PRESIDENT, BRISTOL-MYERS SQUIBB “If you want to know where biopharma is going, read this book! Our industry is facing unprecedented opportunities driven by major scientific breakthroughs, while transforming itself to address accelerated landscape changes driven by digital revolutions and the emergence of value-based healthcare worldwide. In this ever-changing context, we all need to focus everything we do on the patients. They are why we exist as an industry, and this is ultimately what this insightful essay is really about.” JOHN MARAGANORE, PRESIDENT AND CHIEF EXECUTIVE OFFICER, ALNYLAM PHARMACEUTICALS “Since the mapping of the human genome was completed nearly 15 years ago, the biotechnology industry has led the rapid translation of raw science to today’s innovative medicines. However, the work does not stop in the lab. Delivering these novel medicines to patients is a complex and multifaceted process, which is elegantly described in this new book.” |
| clinical trial supply optimization: Monte Carlo Simulation for the Pharmaceutical Industry Mark Chang, 2010-09-29 Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and metho |
| clinical trial supply optimization: AI-Powered Advances in Pharmacology Shaik, Aminabee, 2024-09-14 In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine. The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology. |
| clinical trial supply optimization: Operations Research Applications in Health Care Management Cengiz Kahraman, Y. Ilker Topcu, 2017-12-08 This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments. |
| clinical trial supply optimization: Digital Twins for Smart Cities and Villages Sailesh Iyer, Anand Nayyar, Anand Paul, Mohd Naved, 2024-11-01 Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields |
| clinical trial supply optimization: Operations Research and Big Data Ana Paula Ferreira Dias Barbosa Póvoa, Joao Luis de Miranda, 2015-09-11 The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR. |
| clinical trial supply optimization: WHO think tank on treatment optimization of HIV World Health Organization, 2024-05-14 This report reviews key clinical trials, observational studies, and programmatic data on newer antiretrovirals to inform future updates to global HIV treatment policies. The report also reviewed the latest data on the safety and efficacy of dolutegravir, tenofovir alafenamide, and long-acting ARV-containing regimens in people living with HIV, including pregnant women. Critical gaps in clinical knowledge, research, monitoring, and surveillance on the transition to these new antiretrovirals were discussed, and future research priorities were summarized. The primary audience for this report includes national HIV program managers, clinicians, and healthcare providers. This document will also be of interest to treatment advisory boards, international agencies and organizations that provide technical and financial support to HIV programmes. |
| clinical trial supply optimization: Pharmaceutical Supply Chains - Medicines Shortages Ana Paula Barbosa-Povoa, Helena Jenzer, João Luís de Miranda, 2019-06-01 This book provides an insight of relevant case studies and updated practices in “PharmaceuticalSupply Chains” (PharmSC) while addressing the most relevant topics within the COST Action “Medicines Shortages” (CA15105).The volume focuses on the most recent developments in the design, planning and scheduling ofPharmSC, broadening from the suppliers’ selection to the impact on patients and healthcaresystems, addressing uncertainty and risk mitigation, and computational issues. It is directed at MSc/PhD students and young researchers (Post-Docs) in Pharmaceutics/Pharmaceutical sciences, Engineering fields, Economics/Management, as well as pharmaceutical decision makers, managers, and practitioners, and advanced readers demanding a fresh approach to decision making for PharmSC. The contributed chapters are associated with the homonymous COST Training Schools (TS), and the book creates a better understanding of the Action “Medicines Shortages” challenges and opportunities. |
| clinical trial supply optimization: Exploring the Convergence of Big Data and the Internet of Things Prasad, A.V. Krishna, 2017-08-11 The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business. |
| clinical trial supply optimization: Practical Process Research and Development Neal G. Anderson, 2012-04-09 Designed to provide a comprehensive, step-by-step approach to organic process research and development in the pharmaceutical, fine chemical, and agricultural chemical industries, this book describes the steps taken, following synthesis and evaluation, to bring key compounds to market in a cost-effective manner. It describes hands-on, step-by-step, approaches to solving process development problems, including route, reagent, and solvent selection; optimising catalytic reactions; chiral syntheses; and green chemistry. Second Edition highlights: . Reflects the current thinking in chemical process R&D for small molecules . Retains similar structure and orientation to the first edition. . Contains approx. 85% new material . Primarily new examples (work-up and prospective considerations for pilot plant and manufacturing scale-up) . Some new/expanded topics (e.g. green chemistry, genotoxins, enzymatic processes) . Replaces the first edition, although the first edition contains useful older examples that readers may refer to Provides insights into generating rugged, practical, cost-effective processes for the chemical preparation of small molecules Breaks down process optimization into route, reagent and solvent selection, development of reaction conditions, workup, crystallizations and more Presents guidelines for implementing and troubleshooting processes |
| clinical trial supply optimization: Handbook of Computational Neurodegeneration Panagiotis Vlamos, Ilias S. Kotsireas, Ioannis Tarnanas, 2023-07-25 The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives. |
| clinical trial supply optimization: Artificial Intelligence in Industry 4.0 and 5G Technology Pandian Vasant, Elias Munapo, J. Joshua Thomas, Gerhard-Wilhelm Weber, 2022-07-20 Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches. |
| clinical trial supply optimization: Smart Applications and Data Analysis Mohamed Hamlich, Ladjel Bellatreche, Ali Siadat, Sebastian Ventura, 2023-01-01 This book constitutes the refereed proceedings of the 4th International Conference on Smart Applications and Data Analysis, SADASC 2022, held in Marrakesh, Morocco,during September 22–24, 2022. The 24 full papers and 11 short papers included in this book were carefully reviewed andselected from 64 submissions. They were organized in topical sections as follows: AI-Driven Methods 1; Networking technologies & IoT; AI-Driven Methods 2; Green Energy, Computing and Technologies 1; AI-Driven Methods 3; Green Energy, Computing and Technologies 2; Case studies and Cyber-Physical Systems 1; Case studies and Cyber-Physical Systems 2; and Case studies and Cyber-Physical Systems 3. |
| clinical trial supply optimization: Optimization in Artificial Intelligence and Data Sciences Lavinia Amorosi, Paolo Dell’Olmo, Isabella Lari, 2022-05-20 This book is addressed to researchers in operations research, data science and artificial intelligence. It collects selected contributions from the first hybrid “Optimization and Decision Science - ODS2021” international conference on the theme Optimization and Artificial Intelligence and Data Sciences, which was held in Rome 14-17 September 2021 and organized by AIRO, the Italian Operations Research Society and the Department of Statistical Sciences of Sapienza University of Rome. The book offers new and original contributions on different methodological optimization topics, from Support Vector Machines to Game Theory Network Models, from Mathematical Programming to Heuristic Algorithms, and Optimization Methods for a number of emerging problems from Truck and Drone delivery to Risk Assessment, from Power Networks Design to Portfolio Optimization. The articles in the book can give a significant edge to the general themes of sustainability and pollution reduction, distributive logistics, healthcare management in pandemic scenarios and clinical trials, distributed computing, scheduling, and many others. For these reasons, the book is aimed not only at researchers in the Operations Research community but also for practitioners facing decision-making problems in these areas and to students and researchers from other disciplines, including Artificial Intelligence, Computer Sciences, Finance, Mathematics, and Engineering. |
| clinical trial supply optimization: Big Data and The Internet of Things Robert Stackowiak, Art Licht, Venu Mantha, Louis Nagode, 2015-05-07 Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global Internet. No business can afford to be caught out by missing the value to be mined from the increasingly large amounts of available data generated by everyday devices. The text provides background as to how analytical solutions and enterprise architecture methodologies and concepts have evolved (including the roles of data warehouses, business intelligence tools, predictive analytics, data discovery, Big Data, and the impact of the Internet of Things). Then you’re taken through a series of steps by which to define a future state architecture and create a plan for how to reach that future state. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things helps you gain an understanding of the following: Implications of Big Data from a variety of new data sources (including data from sensors that are part of the Internet of Things) upon an information architecture How establishing a vision for data usage by defining a roadmap that aligns IT with line-of-business needs is a key early step The importance and details of taking a step-by-step approach when dealing with shifting business challenges and changing technology capabilities How to mitigate risk when evaluating existing infrastructure and designing and deploying new infrastructure Enterprise Information Architecture for a New Age: Big Data and The Internet of Things combines practical advice with technical considerations. Author Robert Stackowiak and his team are recognized worldwide for their expertise in large data solutions, including analytics. Don’t miss your chance to read this book and gain the benefit of their advice as you look forward in thinking through your own choices and designing your own architecture to accommodate the burgeoning explosion in data that can be analyzed and converted into valuable information to drive your business forward toward success. |
| clinical trial supply optimization: Optimizing Endoscopic Operations, An Issue of Gastrointestinal Endoscopy Clinics John Vargo, Sunguk N. Jang, 2021-09-21 Optimizing Endoscopic Operations, An Issue of Gastrointestinal Endoscopy Clinics |
| clinical trial supply optimization: Prediction in Medicine: The Impact of Machine Learning on Healthcare Neeta Verma, Anjali Singhal, Vijai Singh, Manoj Kumar, 2024-10-11 Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management. The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation. |
| clinical trial supply optimization: Industrial Engineering and Operations Management João Carlos Gonçalves dos Reis, Francisco Gaudêncio Mendonça Freires, Milton Vieira Junior, 2024-01-21 This proceedings volume gathers selected, blinded peer-reviewed contributions presented at the XXIX International Joint Conference on Industrial Engineering and Operations Management (IJCIEOM), held in Lisbon, Portugal, from June 28th to 30th, 2023. This volume focuses especially on the applications of Industrial Engineering and Operations Management for research and practice. It includes relevant information for academics since most of the chapters focus on real-world case studies and systematic reviews. It also provides valuable insights for professionals in the industrial sector by presenting solutions to complex industrial challenges. The 2023 iteration of the IJCIEOM conference had the theme Developing resilience in Industrial Engineering and Operations Management and aimed to analyze the resilience of supply chains in the post-COVID-19 era. The works published in this volume focus on how Digital Transformation (DX) and Artificial Intelligence (AI) have made the manufacturing and service industry more resistant to VUCA elements (i.e., volatile, uncertain, complex, and ambiguous). Regarding DX and AI, the research specifically focused on supply chain management, project management, and Industry 4.0. Other studies explore how industrial engineering incorporated innovative and technological concepts into service and product operations. Overall, this volume provides a valuable resource for researchers and practitioners alike as it presents numerous relevant contributions in identifying new challenges and opportunities for industrial engineering and operations management. This conference was sponsored by renowned international industry engineering associations, particularly the American Society for Engineering Management (ASEM), the Institute of Industrial & Systems Engineers (IISE), and the Asociación para el Desarrollo de la Ingeniería de Organización (ADINGOR). |
| clinical trial supply optimization: Energy Research Abstracts , 1988 |
| clinical trial supply optimization: Clinical Trials in Neurology Bernard Ravina, Michael McDermott, 2012-04-12 Comprehensive book that suggests ways to improve the efficiency of clinical trials and the development of interventions in the neurosciences. |
| clinical trial supply optimization: Essence of the PET Radiopharmaceutical Business Andrea Pecorale, 2022-04-22 This book explores the organizational and operational activities of real Positron Emission Tomography (PET) radiopharmaceutical manufacturing. Centered around the author’s professional experience, this book specifically explores: (1) the selection and preservation of operational and managerial personnel; (2) the alignment of production plans to consumer needs while still achieving financial goals; and (3) the positive and negative aspects of different operation management methods for direct and third-party production. The book offers a valuable reference for hospital managers, professionals and consultants interested or involved in developing a radiopharmaceutical facility/business or personalized medicine and special productions. |
| clinical trial supply optimization: Biosystems, Biomedical & Drug Delivery Systems Shrikaant Kulkarni, |
| clinical trial supply optimization: Drug Delivery and Development of Anti-HIV Microbicides José das Neves, Bruno Sarmento, 2014-10-16 The worldwide impact of HIV/AIDS is well recognized. This book provides for the first time a thorough and critical overview of current aspects, recent developments, and trends in the formulation and drug delivery concerning anti-HIV microbicides by leading scientists in the field. Additionally, pertinent regulatory aspects and socioeconomical issues related to the subject are discussed. In the absence of a cure, prophylaxis represents a cornerstone in the battle against infection. One promising strategy comprises the use around the time of sexual intercourse of vaginal/rectal products containing antiviral compounds, termed microbicides. It is now recognized that specific development of drug dosage forms and/or drug delivery systems is an indispensable aspect for the success of microbicides. Different groups strived over the last decade to optimize the biophysical and technological performance of traditional dosage forms (gels, tablets, and suppositories) to fulfill the specificities of microbicides use, without neglecting users’ preferences and affordability issues. Moreover, new formulation approaches, such as vaginal rings and films, nanotechnology-based systems, stimuli-sensitive formulations, targeted drug delivery systems, among others have been proposed and are currently undergoing pre-clinical or even clinical testing. |
ClinicalTrials.gov
Study record managers: refer to the Data Element Definitions if submitting registration or results information.
CLINICAL Definition & Meaning - Merriam-Webster
The meaning of CLINICAL is of, relating to, or conducted in or as if in a clinic. How to use clinical in a sentence.
CLINICAL | English meaning - Cambridge Dictionary
CLINICAL definition: 1. used to refer to medical work or teaching that relates to the examination and treatment of ill…. Learn more.
CLINICAL definition and meaning | Collins English Dictionary
Clinical means involving or relating to the direct medical treatment or testing of patients.
Clinical Definition & Meaning | Britannica Dictionary
CLINICAL meaning: 1 : relating to or based on work done with real patients of or relating to the medical treatment that is given to patients in hospitals, clinics, etc.; 2 : requiring treatment as a …
CLINICAL | meaning - Cambridge Learner's Dictionary
CLINICAL definition: 1. relating to medical treatment and tests: 2. only considering facts and not influenced by…. Learn more.
Clinical - definition of clinical by The Free Dictionary
1. pertaining to a clinic. 2. concerned with or based on actual observation and treatment of disease in patients rather than experimentation or theory. 3. dispassionately analytic; …
Clinical - Definition, Meaning & Synonyms | Vocabulary.com
Something that's clinical is based on or connected to the study of patients. Clinical medications have actually been used by real people, not just studied theoretically.
Clinical Definition & Meaning - YourDictionary
Clinical definition: Of, relating to, or connected with a clinic.
Equity Medical | Clinical Research In New York And Kentucky
We pioneer dermatological advancements, collaborating on innovative treatments through research and clinical trials in urban New York City and rural Southern Kentucky.
ClinicalTrials.gov
Study record managers: refer to the Data Element Definitions if submitting registration or results information.
CLINICAL Definition & Meaning - Merriam-Webster
The meaning of CLINICAL is of, relating to, or conducted in or as if in a clinic. How to use clinical in a sentence.
CLINICAL | English meaning - Cambridge Dictionary
CLINICAL definition: 1. used to refer to medical work or teaching that relates to the examination and treatment of ill…. Learn more.
CLINICAL definition and meaning | Collins English Dictionary
Clinical means involving or relating to the direct medical treatment or testing of patients.
Clinical Definition & Meaning | Britannica Dictionary
CLINICAL meaning: 1 : relating to or based on work done with real patients of or relating to the medical treatment that is given to patients in hospitals, clinics, etc.; 2 : requiring treatment as a …
CLINICAL | meaning - Cambridge Learner's Dictionary
CLINICAL definition: 1. relating to medical treatment and tests: 2. only considering facts and not influenced by…. Learn more.
Clinical - definition of clinical by The Free Dictionary
1. pertaining to a clinic. 2. concerned with or based on actual observation and treatment of disease in patients rather than experimentation or theory. 3. dispassionately analytic; …
Clinical - Definition, Meaning & Synonyms | Vocabulary.com
Something that's clinical is based on or connected to the study of patients. Clinical medications have actually been used by real people, not just studied theoretically.
Clinical Definition & Meaning - YourDictionary
Clinical definition: Of, relating to, or connected with a clinic.
Equity Medical | Clinical Research In New York And Kentucky
We pioneer dermatological advancements, collaborating on innovative treatments through research and clinical trials in urban New York City and rural Southern Kentucky.
