Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design.
Topic editor Alex Zhavoronkov is the founder of Insilico Medicine, a company specializing in AI research. He is also a professor at the Buck Institute for Research on Aging.
This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics.
Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, ...
This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient’s life.
FEATURES Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences Explores the application of artificial intelligence in nanosafety and prediction of potential hazards Covers ...
This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design.
... Melvin Munsaka, James Buchanan, and Judy Li Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS Qingzhao Yu and Bin Li Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical ...
In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment.
In the groundbreaking book "AI Pharma: Artificial Intelligence in Drug Discovery and Development," readers are invited on an enlightening journey that explores the transformative impact of Artificial Intelligence (AI) on the pharmaceutical ...