Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics

by Ting-Chao Chou

Overview

"Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics provides a comprehensive overview and update of the mass-action law-based unified dose-effect biodynamics, pharmacodynamics, bioinformatics, and the combination index theorem for synergy definition (MAL-BD/PD/BI/CI). Contents advocate the fundamental MAL-PD/BI/CI/BI principle for biomedical R&D, clinical trials protocol design computerized data analysis, illustrates the MAL-dynamics theory with sample analysis, and includes data entry and automated computer report print-outs. In 11 sections "Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics leads the reader from an introduction and overview, to trial protocols and MAL-PD/CI approach for biomedical R&D in vitro and in animals. It describes the current Landscape of International FDA Drug Evaluation, Clinical Pharmacology, and Clinical Trials Guidance. This is a valuable resource for biomedical researchers, healthcare professionals, and students seeking to harness the power of data informatics in precision medicine.• gives insight into that index equation (DRIE) that digitally determines how many folds of dose-reduction is needed for each drug in synergistic combinations • provides a comprehensive overview and update of mass-action law-based unified bioinformatics, dose effect biodynamics, pharmacodynamics, and the combination index theorem for synergy definition (MAL-BD/PD/BI/CI) • describes how the MAL theory/algorithm-based "Top-Down digital approach is the opposite and yet is a complementary alternative to the observation/statistics-based "Bottom-Up traditional approach in R&D

Product Details

ISBN-13:	9780443288753
Publisher:	Elsevier Science & Technology Books
Publication date:	04/09/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	200
File size:	67 MB
Note:	This product may take a few minutes to download.

About the Author

Born in Taiwan, Ting-Chao (David) Chou received his Ph.D. in Pharmacology from Yale University and completed his Post-Doctoral Fellowship at Johns Hopkins University School of Medicine. He joined Memorial Sloan-Kettering Cancer Center (MSKCC) in New York and became a Member and Professor of Pharmacology at Cornell University Graduate School of Medical Sciences in 1988. He retired from MSKCC in 2013 and founded PD Science LLC. Professor Chou was elected to the Membership of The Johns Hopkins Society of Scholars, induced by the President of JHU on April 8, 2019, among 16 national and international inductees. Dr. Chou's published 375 papers have garnered over forty thousand hundred citations with an h-index of 75 and i10-index of 290. He is the inventor/co-inventor of 40 U.S. patents. Currently, he advocates for MAL-based digital biomedical R&D for translational medicine bioinformatics (BI) to provide a complementary alternative basic framework to the traditional statistics-based R&D
Born in Taiwan, Ting-Chao (David) Chou received his Ph.D. in Pharmacology from Yale University and completed his Post-Doctoral Fellowship at Johns Hopkins University School of Medicine. He joined Memorial Sloan-Kettering Cancer Center (MSKCC) in New York and became a Member and Professor of Pharmacology at Cornell University Graduate School of Medical Sciences in 1988. He retired from MSKCC in 2013 and founded PD Science LLC. Professor Chou was elected to the Membership of The Johns Hopkins Society of Scholars, induced by the President of JHU on April 8, 2019, among 16 national and international inductees. Dr. Chou’s published 375 papers have garnered over forty thousand hundred citations with an h-index of 75 and i10-index of 290. He is the inventor/co-inventor of 40 U.S. patents. Currently, he advocates for MAL-based digital biomedical R&D for translational medicine bioinformatics (BI) to provide a complementary alternative basic framework to the traditional statistics-based R&D

Table of Contents

1. A new alternative concept for cost-effective R&D: The MALdynamics/algorithms/digital informatics2. General dynamics principle for experimental design of all dose-effect analysis and computer simulation3. MAL-PD/CI approach for biomedical R&D in vitro and in animals4. Implementation for MAL-PD Econo-Green R&D5. Digital R&D approach to international FDA drug evaluation, clinical pharmacology, and clinical trial guidance6. The epothilone story: Experimental success and clinical failure7. MAL-PD Advocacy: Public hearing, public comments and scientific recommendations8. Consensus for international FDAs on definitions of "MAL-PD" and "Synergism"9. Historical, philosophical, and mathematical analysis: Why the MAL-PD approach and the traditional approach are opposite yet complementary10. Multidisciplinary examples of applications: Papers using the MAL-PD/BD/CI/BI theory/method11. Concluding remarks

What People are Saying About This

From the Publisher

Provides the theory, practical implementation guidance, disease-specific applications, and insights into emerging technologies in the field of Mass action law