Data Science, AI, and Machine Learning in Drug Development (Hardcover)

Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and machine learning in the entire spectrum of drug R&D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides detailed description of solutions suitable for practitioners with limited data science expertise

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Biostatistics Series
Release date:	September 2022
First published:	2023
Editors:	Harry Yang
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	320
ISBN-13:	978-0-367-70807-8
Categories:	Books > Science & Mathematics > Science: general issues > Industrial applications of scientific research & technological innovation Books > Science & Mathematics > Chemistry > General Books > Business & Economics > Industry & industrial studies > Manufacturing industries > Pharmaceutical industries Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Medicine > Other branches of medicine > Pharmacology > General
LSN:	0-367-70807-8
Barcode:	9780367708078

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