Data Science, AI, and Machine Learning in Drug Development

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Contents
Preface.................................................................................................................... vii
Contributors......................................................................................................... xiii
1. Transforming Pharma with Data Science, AI and
Machine Learning ..........................................................................................1
Harry Yang
2. Regulatory Perspective on Big Data, AI, and
Machining Learning .................................................................................... 19
Harry Yang
3. Building an Agile and Scalable Data Science Organization...............43
Harry Yang
4. AI and Machine Learning in Drug Discovery .......................................63
Harry Yang, Dai Feng, and Richard Baumgartner
5. Predicting Anticancer Synergistic Activity through Machine
Learning and Natural Language Processing ..........................................95
Harry Yang, Natalia Aniceto, Chad Allen, Krishna C. Bulusu,
and Siu Lun Tsang
6. AI-Enabled Clinical Trials........................................................................ 121
Harry Yang
7. Machine Learning for Precision Medicine ........................................... 145
Xin Huang and Yi-Lin Chiu
8. Reinforcement Learning in Personalized Medicine........................... 177
Harry Yang and Haoda Fu
9. Leveraging Machine Learning, Natural Language Processing,
and Deep Learning in Drug Safety and Pharmacovigilance............ 193
Melvin Munsaka, Meng Liu, Yunzhao Xing, and Harry Yang
10. Intelligent Manufacturing and Supply of Biopharmaceuticals........ 231
Harry Yang
11. Reinventing Medical Affairs in the Era of Big Data and Analytics.... 245
Harry Yang and Deepak B. Khatry
12. Deep Learning with Electronic Health Record ....................................265
Harry Yang
13. Real-World Evidence for Treatment Access and
Payment Decisions ..................................................................................... 287
Harry Yang
Index .....................................................................................................................307

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