Biology
Biology

Biology

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Biology chemistry Computer science and technology DNA Genetics Research School of Science

With generative AI, MIT chemists quickly calculate 3D genomic structures

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

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MIT Schwarzman College of Computing launches postdoctoral program to advance AI across disciplines

The new Tayebati Postdoctoral Fellowship Program will support leading postdocs to bring cutting-edge AI to bear on research in scientific discovery or music.

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Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment

Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.

Artificial Intelligence Awards, honors and fellowships Biological engineering Biology Cancer Chemical engineering Electrical Engineering & Computer Science (eecs) Faculty Funding Grants Immunology Jameel Clinic Koch Institute machine learning Research School of Engineering School of Science

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.

Algorithms Artificial Intelligence Bacteria Biological engineering Biology Brain and cognitive sciences Broad Institute Computational biology Computer science and technology CRISPR Data DNA Genetic engineering Genome Genome editing McGovern Institute Microbes National Institutes of Health (NIH) Research RNA School of Engineering School of Science

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.

Algorithms Artificial Intelligence Biology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DNA Drug development Electrical Engineering & Computer Science (eecs) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Proteins Research School of Engineering

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.