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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

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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.

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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.

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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.

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Department-of-chemical-engineering

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