Deep Learning for the Life Sciences
by Bharath Ramsundar
Bharath Ramsundar's practical guide to applying deep learning across genomics, drug discovery, microscopy, and molecular design for life sciences
"Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular".
Editorial Summary
Bharath Ramsundar's "Deep Learning for the Life Sciences" is a practical guide that teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ramsundar, the creator of DeepChem.io—an open source TensorFlow-based package that democratizes deep learning in drug discovery—brings his Stanford PhD expertise to this comprehensive tutorial. The book follows a case study on designing new therapeutics that ties together physics, chemistry, biology, and medicine, representing one of science's greatest challenges. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. DeepChem has become a foundational tool cited thousands of times across academic and industrial drug discovery ecosystems, making this the standard computational reference for the field.
Perspective
"This book is essential for computational biologists and data scientists working in pharma, biotech, or academic research who need to implement deep learning methods for molecular problems. With the explosion of AI in drug discovery following ChatGPT's success, practitioners need rigorous technical guidance to apply deep learning to molecular data rather than just text—making Ramsundar's expertise with DeepChem and real-world pharmaceutical applications invaluable."
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