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Look inside
Discover how machine learning, deep learning, and generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch.
Machine Learning for Drug Discovery introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter explores a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more.
In Machine Learning for Drug Discovery you will learn:
Machine learning has accelerated the process of drug discovery, shortening the timeline for developing new medicines from decades to years or months. In this practical guide, you’ll learn to create the kind of machine learning models that make these discoveries possible.
Machine Learning for Drug Discovery introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter explores a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more.
In Machine Learning for Drug Discovery you will learn:
- Drug discovery and virtual screening
- Classic ML, deep learning, and LLMs for drug discovery
- UsingRDKit to analyze molecular data
- Creating drug discovery models with PyTorch
- Replicating cutting-edge drug development research
Machine learning has accelerated the process of drug discovery, shortening the timeline for developing new medicines from decades to years or months. In this practical guide, you’ll learn to create the kind of machine learning models that make these discoveries possible.
Machine Learning for Drug Discovery ebook for free
