Data science, AI, and machine learning in drug development. (2022)

• Record Type: Book
• Further Information: Note: Harry Yang.
• Authors: Yang, Harry
• Editors: Yang, Harry
• Contents: 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
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 615.1900285; Drug development -- Data processing; Artificial intelligence; Machine learning
• Languages: English
• ISBNs: 9781000652697; 9781000652673; 9781003150886
• Related ISBNs: 9780367708078
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.