
The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
Description
Key Features
- Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research
- Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved
- Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide
Readership
Academic and industrial researchers interested in drug discovery, chemical biology, computational chemistry, medicinal chemistry, and bioinformatics
Table of Contents
1. Introduction Drug Discovery
2. Intro to ML
3. Data Types
4. Target ID and Val
5. Hit Discovery
6. Lead Optimisation
7. Evaluating Safety and Toxicity
8. Precision Medicine and Finding the 'right patient': Date-driven Identification of Disease Subtypes
9. Image Analysis in Drug Discovery
10. Clinical Trials, Real World Evidence and Digital Medicine
11. To and From the Patient
Product details
- No. of pages: 264
- Language: English
- Copyright: © Academic Press 2021
- Published: April 23, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128200452
- eBook ISBN: 9780128204498
About the Editor
Stephanie Ashenden
Affiliations and Expertise
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