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Artificial intelligence framework reveals nuance in performance of multimodal AI for health care

Artificial intelligence framework reveals nuance in performance of multimodal AI for health care
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Massachusetts Institute of Technology: Artificial intelligence model finds potential drug molecules a thousand times faster

The entirety of the known universe is teeming with an infinite number of molecules. But what fraction of these molecules have potential drug-like traits that can be used to develop life-saving drug treatments? Millions? Billions? Trillions? The answe

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Artificial intelligence model finds potential drug molecules a thousand times faster

MIT researchers developed a geometric deep learning model that is more accurate and over 1,000 times faster at finding potential drug-like molecules than the fastest state-of-the-art computational models, reducing the chances and costs of failures in an industry where 90 percent of drug candidates fail clinical trials.

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Artificial intelligence model finds potential drug molecules a thousand times faster

Artificial intelligence model finds potential drug molecules a thousand times faster
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Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher and beloved colleague

Octavian-Eugen Ganea, a gifted MIT postdoc artificial intelligence researcher and beloved colleague at Jameel Clinic and CSAIL, has died at 34. Many remember him for the depth of his intellect and for his kindness.

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