Bayesian Data Assimilation And Reinforcement Learning For Model Informed Precision Dosing In Oncology

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Bayesian Data Assimilation and Reinforcement Learning for Model-informed Precision Dosing in Oncology

Author : Corinna Sabrina Maier
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (127 download)

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Book Synopsis Bayesian Data Assimilation and Reinforcement Learning for Model-informed Precision Dosing in Oncology by : Corinna Sabrina Maier

Download or read book Bayesian Data Assimilation and Reinforcement Learning for Model-informed Precision Dosing in Oncology written by Corinna Sabrina Maier and published by . This book was released on 2021* with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While patients are known to respond differently to drug therapies, current clinical practice often still follows a standardized dosage regimen for all patients. For drugs with a narrow range of both effective and safe concentrations, this approach may lead to a high incidence of adverse events or subtherapeutic dosing in the presence of high patient variability. Model-informedprecision dosing (MIPD) is a quantitative approach towards dose individualization based on mathematical modeling of dose-response relationships integrating therapeutic drug/biomarker monitoring (TDM) data. MIPD may considerably improve the efficacy and safety of many drug therapies. Current MIPD approaches, however, rely either on pre-calculated dosing tables or on simple point predictions of the therapy outcome. These approaches lack a quantification of uncertainties and the ability to account for effects that are delayed. In addition, the underlying models are not improved while applied to patient data. Therefore, current approaches are not well suited for ...

Advances in Pharmacokinetics and Pharmacodynamics

Author : Panos Macheras
Publisher : Springer Nature
ISBN 13 : 3031295412
Total Pages : 208 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advances in Pharmacokinetics and Pharmacodynamics by : Panos Macheras

Download or read book Advances in Pharmacokinetics and Pharmacodynamics written by Panos Macheras and published by Springer Nature. This book was released on 2023-05-26 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise overview of recent advances in Pharmacokinetics (PK) and Pharmacodynamics (PD). The pharmacokinetics section covers the state of the art in Physiologically Based Pharmacokinetic (PBPK) modeling (Chapter 1) as well as the assessment of food effect on drug absorption using PBPK modeling (Chapter 2). Chapters 3 and 4 describe the recent development of Physiologically Based Finite Time Pharmacokinetic (PBFTPK) models and their applications to pharmacokinetic data. The pharmacodynamics section focuses on PK/PD modeling. Chapter 5 provides an overview of PK/PD modeling and simulation in clinical practice and studies. Chapter 6 deals with the subject/physiology variability issue encountered in PK/PD studies, while Chapter 7 reviews the influence of clinical pharmacology in the modernization of drug development and regulation. This book is an essential reference for pharmaceutical scientists.

Innovative Pharmacometric Approaches to Inform Drug Development and Clinical Use

Author : Zinnia P. Parra-Guillen
Publisher : Frontiers Media SA
ISBN 13 : 2832545033
Total Pages : 117 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Innovative Pharmacometric Approaches to Inform Drug Development and Clinical Use by : Zinnia P. Parra-Guillen

Download or read book Innovative Pharmacometric Approaches to Inform Drug Development and Clinical Use written by Zinnia P. Parra-Guillen and published by Frontiers Media SA. This book was released on 2024-02-21 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pharmacometrics represents a strategy to optimize and rationalize decision-making process integrating information on drug behavior, pharmacological response, and disease progression both in the drug development phases and in their clinical use. Pharmacometrics focuses on characterizing the pharmacokinetic and pharmacodynamic behavior of one or several active ingredients through the development of mathematical and statistical models that allow characterizing both the average behavior in the population and the different sources of variability. Currently, pharmacometrics has transformed drug development and therapeutic use paradigm, which yield to the recognition by the main regulatory agencies (FDA, EMA, and PMDA).

Artificial Intelligence in Medicine

Author : Joseph JY Sung
Publisher : Elsevier
ISBN 13 : 0323950698
Total Pages : 162 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in Medicine by : Joseph JY Sung

Download or read book Artificial Intelligence in Medicine written by Joseph JY Sung and published by Elsevier. This book was released on 2024-03-29 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although AI is opening new and exciting opportunities in healthcare, implementation still faces challenges. Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts this important reference has coverage that includes good data custodianship and stewardship; data access, data bias, data & healthcare equity; privacy and confidentiality; algorithmic understanding; and regulatory guidance, accountability, and legal responsibility. This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare. Discusses the issues that must be addressed to improve acceptance and diminish the anxiety and lack of trust surrounding the care of human health by machines Examines the delicate issues surrounding the use of AI in making life-and-death decisions Sets the framework of social, ethical, and legal aspects of healthcare for the future

Statistical Approaches in Oncology Clinical Development

Author : Satrajit Roychoudhury
Publisher : CRC Press
ISBN 13 : 1498772706
Total Pages : 237 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Statistical Approaches in Oncology Clinical Development by : Satrajit Roychoudhury

Download or read book Statistical Approaches in Oncology Clinical Development written by Satrajit Roychoudhury and published by CRC Press. This book was released on 2018-12-07 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references, the book highlights current regulatory views. The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design, exposure response analysis, and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design, safety analysis, and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges. Features: Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials. Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis. Detailed case studies illustrate the real life applications. Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials, survival analysis, model informed drug development, and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings, ASA Biopharmaceutical Section Regulatory-Industry Workshop, and ICSA Applied Statistics Symposium. Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology, GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee.

Bayesian Reinforcement Learning

Author : Mohammad Ghavamzadeh
Publisher :
ISBN 13 : 9781680830880
Total Pages : 146 pages
Book Rating : 4.8/5 (38 download)

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Book Synopsis Bayesian Reinforcement Learning by : Mohammad Ghavamzadeh

Download or read book Bayesian Reinforcement Learning written by Mohammad Ghavamzadeh and published by . This book was released on 2015-11-18 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. This monograph provides the reader with an in-depth review of the role of Bayesian methods for the reinforcement learning (RL) paradigm. The major incentives for incorporating Bayesian reasoning in RL are that it provides an elegant approach to action-selection (exploration/exploitation) as a function of the uncertainty in learning, and it provides a machinery to incorporate prior knowledge into the algorithms. Bayesian Reinforcement Learning: A Survey first discusses models and methods for Bayesian inference in the simple single-step Bandit model. It then reviews the extensive recent literature on Bayesian methods for model-based RL, where prior information can be expressed on the parameters of the Markov model. It also presents Bayesian methods for model-free RL, where priors are expressed over the value function or policy class. Bayesian Reinforcement Learning: A Survey is a comprehensive reference for students and researchers with an interest in Bayesian RL algorithms and their theoretical and empirical properties.

Towards Model-informed Precision Dosing for Targeted Anticancer Drugs

Author : Anna Margarete McLaughlin
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Towards Model-informed Precision Dosing for Targeted Anticancer Drugs by : Anna Margarete McLaughlin

Download or read book Towards Model-informed Precision Dosing for Targeted Anticancer Drugs written by Anna Margarete McLaughlin and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

ADME and Translational Pharmacokinetics / Pharmacodynamics of Therapeutic Proteins

Author : Honghui Zhou
Publisher : John Wiley & Sons
ISBN 13 : 111889880X
Total Pages : 479 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis ADME and Translational Pharmacokinetics / Pharmacodynamics of Therapeutic Proteins by : Honghui Zhou

Download or read book ADME and Translational Pharmacokinetics / Pharmacodynamics of Therapeutic Proteins written by Honghui Zhou and published by John Wiley & Sons. This book was released on 2015-10-26 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an emphasis on the fundamental and practical aspects of ADME for therapeutic proteins, this book helps readers strategize, plan and implement translational research for biologic drugs. • Details cutting-edge ADME (absorption, distribution, metabolism and excretion) and PKPD (pharmacokinetic / pharmacodynamics) modeling for biologic drugs • Combines theoretical with practical aspects of ADME in biologic drug discovery and development and compares innovator biologics with biosimilar biologics and small molecules with biologics, giving a lessons-learned perspective • Includes case studies about leveraging ADME to improve biologics drug development for monoclonal antibodies, fusion proteins, pegylated proteins, ADCs, bispecifics, and vaccines • Presents regulatory expectations and industry perspectives for developing biologic drugs in USA, EU, and Japan • Provides mechanistic insight into biodistribution and target-driven pharmacokinetics in important sites of action such as tumors and the brain

Models in Environmental Regulatory Decision Making

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309110009
Total Pages : 286 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Models in Environmental Regulatory Decision Making by : National Research Council

Download or read book Models in Environmental Regulatory Decision Making written by National Research Council and published by National Academies Press. This book was released on 2007-08-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy. Given the critical role played by models, the EPA asked the National Research Council to assess scientific issues related to the agency's selection and use of models in its decisions. The book recommends a series of guidelines and principles for improving agency models and decision-making processes. The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.

Antibiotic Pharmacodynamics

Author : John C. Rotschafer
Publisher : Humana
ISBN 13 : 9781493933211
Total Pages : 0 pages
Book Rating : 4.9/5 (332 download)

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Book Synopsis Antibiotic Pharmacodynamics by : John C. Rotschafer

Download or read book Antibiotic Pharmacodynamics written by John C. Rotschafer and published by Humana. This book was released on 2016-03-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers state of the art contributions written by world renown experts which provide an extensive background on specific classes of antibiotics and summarize our understanding as to how these antibiotics might be optimally used in a clinical situation. The book explores pharmacodynamics methods for anti-infective agents, pharmacodynamics of antibacterial agents and non-antibacterial agents, as well as pharmacodynamic considerations and special populations. As part of the Methods in Pharmacology and Toxicology series, chapters include detailed insight and practical information for the lab. Comprehensive and cutting-edge, Antibiotic Pharmacodynamics serves as an ideal reference for scientists investigating advances in antibiotic pharmacodynamics now finding their way into the antibiotic development process used for licensing new antibiotics.

Artificial Intelligence in Drug Discovery

Author : Nathan Brown
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160543
Total Pages : 425 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown

Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Convex Optimization

Author : Stephen P. Boyd
Publisher : Cambridge University Press
ISBN 13 : 9780521833783
Total Pages : 744 pages
Book Rating : 4.8/5 (337 download)

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Book Synopsis Convex Optimization by : Stephen P. Boyd

Download or read book Convex Optimization written by Stephen P. Boyd and published by Cambridge University Press. This book was released on 2004-03-08 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.

Machine Learning with Health Care Perspective

Author : Vishal Jain
Publisher : Springer Nature
ISBN 13 : 3030408507
Total Pages : 418 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning with Health Care Perspective by : Vishal Jain

Download or read book Machine Learning with Health Care Perspective written by Vishal Jain and published by Springer Nature. This book was released on 2020-03-09 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Converging Technologies for Improving Human Performance

Author : Mihail C. Roco
Publisher : Springer Science & Business Media
ISBN 13 : 9401703590
Total Pages : 477 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Converging Technologies for Improving Human Performance by : Mihail C. Roco

Download or read book Converging Technologies for Improving Human Performance written by Mihail C. Roco and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.

Wildlife Disease Ecology

Author : Kenneth Wilson
Publisher : Cambridge University Press
ISBN 13 : 1107136563
Total Pages : 693 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Wildlife Disease Ecology by : Kenneth Wilson

Download or read book Wildlife Disease Ecology written by Kenneth Wilson and published by Cambridge University Press. This book was released on 2019-11-14 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to key case studies that illustrate how theory and data can be integrated to understand wildlife disease ecology.

Knowing What Works in Health Care

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309113563
Total Pages : 279 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowing What Works in Health Care by : Institute of Medicine

Download or read book Knowing What Works in Health Care written by Institute of Medicine and published by National Academies Press. This book was released on 2008-05-29 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is currently heightened interest in optimizing health care through the generation of new knowledge on the effectiveness of health care services. The United States must substantially strengthen its capacity for assessing evidence on what is known and not known about "what works" in health care. Even the most sophisticated clinicians and consumers struggle to learn which care is appropriate and under what circumstances. Knowing What Works in Health Care looks at the three fundamental health care issues in the United States-setting priorities for evidence assessment, assessing evidence (systematic review), and developing evidence-based clinical practice guidelines-and how each of these contributes to the end goal of effective, practical health care systems. This book provides an overall vision and roadmap for improving how the nation uses scientific evidence to identify the most effective clinical services. Knowing What Works in Health Care gives private and public sector firms, consumers, health care professionals, benefit administrators, and others the authoritative, independent information required for making essential informed health care decisions.