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2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans

In fall 2020, MIT’s School of Engineering and Takeda Pharmaceuticals Company Limited launched the MIT-Takeda Program, a collaboration to support members of the MIT community working at the intersection of artificial intelligence and human health. Hou ....

United Kingdom , City Of , Lagnajit Pattanaik , Ufuoma Ovienmhada , Jacqueline Valeri , Monica Agrawal , Bianca Lepe , Luke Murray , Somesh Mohapatra , Caroline Mccue , Peng Cao , University Of Maryland , Linyi University , Ohio State University , Takeda Pharmaceuticals Company , Department Of Electrical Engineering , University Of Edinburgh , University Of Cambridge , Brown University , Leaders For Global Operations Program , Indian Institute Of Technology Roorkee , University Of Chinese Academy Sciences , School Of Engineering , University Of Pennsylvania , Department Of Materials Science , Sloan School Of Management ,

2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans

The 2021-22 Takeda Fellows are working on research involving electronic health record algorithms, remote sensing data as it relates to environmental health risk, and neural networks for the development of antibiotics. ....

United Kingdom , City Of , Lagnajit Pattanaik , Ufuoma Ovienmhada , Jacqueline Valeri , Monica Agrawal , Bianca Lepe , Luke Murray , Somesh Mohapatra , Caroline Mccue , Peng Cao , University Of Maryland , Linyi University , Ohio State University , Takeda Pharmaceuticals Company , Department Of Electrical Engineering , University Of Edinburgh , University Of Cambridge , Brown University , Leaders For Global Operations Program , Indian Institute Of Technology Roorkee , University Of Chinese Academy Sciences , School Of Engineering , University Of Pennsylvania , Department Of Materials Science , Sloan School Of Management ,

GeoMol: New deep learning model to predict the 3D shapes of a molecule

A deep learning model called GeoMol predicts the 3D shapes of a molecule using a 2D graph of its molecular structure. ....

Lagnajit Pattanaik , Artificial Intelligence Laboratory , Department Of Chemical Engineering , Chemical Engineering , Eugen Ganea , Computer Science ,

Taking some of the guesswork out of drug discovery

MIT researchers have developed a deep learning model that can rapidly predict the likely 3D shapes of a molecule given a 2D graph of its structure. This technique could accelerate drug discovery by narrowing down the number of molecules pharmaceutical researchers need to test in lab experiments. ....

Lagnajit Pattanaik , Connorw Coley , Rafael Gomez Bombarelli , Hoytc Hottel , Warrenk Lewis , Klavsf Jensen , Pat Walters , Regina Barzilay , Simon Axelrod , Jeffrey Cheah Career Development , Artificial Intelligence Laboratory , Department Of Chemical Engineering , Institute For Data , School Of Engineering Distinguished Professor , Octavian Eugen Ganea , Computer Science , Chemical Engineering , Engineering Distinguished Professor , Thomas Siebel Professor , Electrical Engineering , Neural Information Processing , Jeffrey Cheah Career Development Chair , Relay Therapeutics , Machine Learning , Pharmaceutical Discovery , Tommis Jaakkola ,

Taking some of the guesswork out of drug discovery

In their quest to discover effective new medicines, scientists search for drug-like molecules that can attach to disease-causing proteins and change their ....

Lagnajit Pattanaik , Connorw Coley , Rafael Gomez Bombarelli , Hoytc Hottel , Warrenk Lewis , Klavsf Jensen , Pat Walters , Regina Barzilay , Simon Axelrod , Jeffrey Cheah Career Development , Artificial Intelligence Laboratory , Department Of Chemical Engineering , Institute For Data , School Of Engineering Distinguished Professor , Octavian Eugen Ganea , Computer Science , Chemical Engineering , Engineering Distinguished Professor , Thomas Siebel Professor , Electrical Engineering , Neural Information Processing , Jeffrey Cheah Career Development Chair , Relay Therapeutics , Machine Learning , Pharmaceutical Discovery ,