Biology
Biology

Biology

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Five MIT faculty members take on Cancer Grand Challenges

Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.

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MIT Generative AI Week fosters dialogue across disciplines

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

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Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

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Generative AI imagines new protein structures

MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.

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MIT scientists build a system that can generate AI models for biology research

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

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Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

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Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

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MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.