Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease
June 2013
in “
The mental health clinician
”
TLDR Large data can lead to new medical discoveries and personalized medicine.
Dr. Atul Butte's lecture emphasized the transformative potential of large-scale data in diagnostics, therapeutics, and disease insights. He highlighted the challenges of data interpretation over mere collection and analysis, and showcased how existing tools can facilitate significant drug discoveries. Examples included repurposing drugs like minoxidil for hair loss and topiramate for inflammatory bowel disease. He also discussed the future of personalized medicine, which will require integrating DNA knowledge with clinical, molecular, and environmental data. The lecture underscored the importance of data sharing and the evolving capabilities in genetic sequencing, predicting a future where full genome sequencing could be done rapidly and affordably.
