Interested in learning more? Check out this thread from @Coryandar https://t.co/yo3wTvDHQE going a bit more in-depth into our project! The work wouldn't have been possible without @neelmadhukar, @MarcusDGon, Dr. Claire Henchcliffe from (@WCMCNeurology) and of course @ElementoLab
Super excited about our work in the @ElementoLab, CATNIP, a method that leverages drug similarities to identify novel indications for small molecules, being out now in @PLOSCompBiol! #PLOSCompBio: https://t.co/UmumlAS1y6
Fantastic News! Cancer deaths declined for the 26th year in a row in the US. We saw the largest-ever single-year drop in cancer deaths ever! #curecancer@LUNGevity https://t.co/y9sqBqgz74
Excited to show off a preprint that we've been working on @ElementoLab ! A ML approach for drug repurposing, applicable to drugs both with and without known indications! We highlight a few promising candidates as well! @Coryandar@neelmadhukar
https://t.co/hQANlzrMh5
Excited to announce that the newest @ElementoLab article "The Missing Pieces of Artificial Intelligence in Medicine" is available online now @TrendsinPharma! We discuss the importance of interpretability and data diversity. Let us know what you think! https://t.co/F0rGWaSNyC
Thrilled to be attending @EngIPM talks at WCM @WeillCornell for #WCMDiversityWeek, and always excited to see my PI @ElementoLab introduce 4 fantastic speakers to discuss the importance of personalized care!
Interesting talk earlier today by @ead about engaging in conversations surrounding AI, especially when pertaining to the economics around the emerging technologies, not just solely focusing on improving the algorithms
“We need more data” definitely seems to be one of the most repeated phrases at this symposium on AI, Big Data, and Prediction in Cancer. Can’t disagree, no surprises there! #AACR19
The convergence of clinical, oncology, and computational methods has led to a “hunger, meaning the next few years in this field will be exciting.” Great talk by @VanAllenLab at #AACR19 on converging machine learning and clinical cancer genomics