Five MIT faculty members take on Cancer Grand Challenges | MIT News
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Cancer Grand Challenges recently announced five winning teams for 2024, which included five researchers from MIT: Michael Birnbaum, Regina Barzilay, Brandon DeKosky,…
When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria | MIT News
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Since the 1970s, modern antibiotic discovery has been experiencing a lull. Now the World Health Organization has declared the antimicrobial resistance crisis…
What to do about AI in health?
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Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy. However, the…
How an archeological approach can help leverage biased data in AI to improve medicine | MIT News
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The classic computer science adage “garbage in, garbage out” lacks nuance when it comes to understanding biased medical data, argue computer science…
MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans | MIT News
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Compared to other imaging modalities like X-rays or CT scans, MRI scans provide high-quality soft tissue contrast. Unfortunately, MRI is highly sensitive…
Generative AI imagines new protein structures | MIT News
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Biology is a wondrous yet delicate tapestry. At the heart is DNA, the master weaver that encodes proteins, responsible for orchestrating the…
MIT scientists build a system that can generate AI models for biology research | MIT News
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Is it possible to build machine-learning models without machine-learning expertise? Jim Collins, the Termeer Professor of Medical Engineering and Science in the…
Speeding up drug discovery with diffusion generative models | MIT News
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With the release of platforms like DALL-E 2 and Midjourney, diffusion generative models have achieved mainstream popularity, owing to their ability to…