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Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease

Atul Butte (Stanford University)
Salon G-F
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There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations have been well described. The nascent field of translational bioinformatics may help, especially powered by public big data. Dr. Butteā€™s lab at Stanford builds and applies tools that convert more than a trillion points of molecular, clinical, and epidemiological data – measured by researchers and clinicians over the past decade and now amazingly open to the public – into diagnostics, therapeutics, and new insights into disease. Dr. Butte will highlight how enabling public big data can be, showing how public data can be used to find new uses for drugs and new diagnostics for disease, and how these can be the seed to launch new data-driven biotech companies.

Photo of Atul Butte

Atul Butte

Stanford University

Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children’s Hospital Boston, then received his PhD in Health Sciences and Technology from Harvard Medical School and MIT. Dr. Butte is also a founder of Personalis, providing clinical interpretation of whole genome sequences, and NuMedii, finding new uses for drugs.

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