1st Edition
Data Science, AI, and Machine Learning in Drug Development
Chapter 1 Transforming Pharma with Data Science, AI and Machine Learning
Chapter 2 Regulatory Perspective on Big Data, AI, and Machining Learning
Chapter 3 Building an Agile and Scalable Data Science Organization
Chapter 4 AI and Machine Learning in Drug Discovery
Chapter 5 Predicting Anti-Cancer Synergistic Activity Through Machine Learning and Natural Language Processing
Chapter 6 AI-Enabled Clinical Trials
Chapter 7 Machine Learning for Precision Medicine
Chapter 8 Reinforcement Learning in Personalized Medicine
Chapter 9 Leveraging Machine Learning, Natural Language Processing, and Deep Learning in Drug Safety and Pharmacovigilance
Chapter 10 Intelligent Manufacturing and Supply of Biopharmaceuticals
Chapter 11 Reinventing Medical Affairs in the Era of Big Data and Analytics
Chapter 12 Deep Learning with Electronic Health Record
Chapter 13 Real-World Evidence for Treatment Access and Payment Decisions
Biography
Harry Yang, Ph.D., is the Vice President and Head of Biometrics at Fate Therapeutics. He has 27 years of experience across all aspects of drug R & D, from early target discovery, through pre-clinical, clinical, translational science, and CMC programs to regulatory approval and post-approval lifecycle management. He played a pivotal role in the successful submissions of 5 biologics license appllications (BLAs) that ultimately led to marketing approvals of five biological products. He has published 8 statistical and data science books, 28 book chapters, over 100 peer-reviewed articles, and 3 industry white papers on diverse scientific, statistical, and data science subjects. He is a frequent invited speaker at national and international conferences. He has also developed statistical courses and conducted trainings at the United States Food and Drug Administration (FDA) and United States Pharmacopeia (USP).
"The book offers a beautiful journey to explore the application of AI and ML in DrugDevelopment. Even though it cannot replace academic courses in AI, ML andhealthcare,authors provide very important and interesting updates regarding the evolution andadvances achieved in this field the past 10 years."
Ramzi El Feghali, ISCB News, May 2024.
