Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Mark Chang is the founder of AGInception. With 12 published books, he is an adjunct professor at Boston University, an elected Fellow of the American Statistical Association, and a cofounder of the International Society for Biopharmaceutical Statistics.

• 1. Overview of Modern Artificial Intelligence. 2. Classic Statistics and Modern Machine Learning. 3. Similarity Principle- Fundamental Principle of All Sciences. 4. Similarity-Principle-Based Artificial Intelligence. 5. Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. Bayesian Learning Approach. 10. Unsupervised Learning. 11. Reinforcement Learning. 12. Swarm and Evolutionary Intelligence. 13. Applications of AI in Medical Science and Drug Development. 14. Future Perspectives-Artificial General Intelligence.

'this book offers a comprehensive review of AI, deep learning, and machine learning applications in medical sciences. This book (particularly Chapter 5 and onwards) will be useful for both masters and undergraduate students in biostatistics, who are planning to pursue research in AI towards biomedical applications.'- Chitaranjan Mahapatra, International Society for Clinical Biostatistics, 71, 2021