Health sciences and technology
Health sciences and technology

Health sciences and technology

Artificial Intelligence Biology Civil and environmental engineering Computational biology Health sciences and technology Materials science and engineering Mechanical engineering MIT-IBM Watson AI Lab Proteins Research School of Engineering Synthetic biology

MIT engineers design proteins by their motion, not just their shape

An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.

Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research Research Laboratory of Electronics School of Engineering

Can AI help predict which heart-failure patients will worsen within a year?

Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.

Artificial Intelligence Biology Cancer Computational biology DNA Evolution Faculty Genetics Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Koch Institute machine learning Medicine School of Science

3 Questions: Building predictive models to characterize tumor progression

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.

Antibiotics Artificial Intelligence Biological engineering Collaboration Drug development Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic Research School of Engineering Synthetic biology

Using synthetic biology and AI to address global antimicrobial resistance threat

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

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AI algorithm enables tracking of vital white matter pathways

Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.

Antibiotics Artificial Intelligence Bacteria Biological engineering Broad Institute Collaboration Computer science and technology Disease Drug development Faculty Harvard-MIT Health Sciences and Technology Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Jameel Clinic Microbes School of Engineering Synthetic biology

3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

WITEC is working to develop the first wearable ultrasound imaging system to monitor chronic conditions in real-time, with the goal of enabling earlier detection and timely intervention.

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MIT scientists investigate memorization risk in the age of clinical AI

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

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MIT in the media: 2025 in review

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug development Electrical engineering and computer science (EECS) Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Proteins Research School of Engineering Special events and guest speakers

MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.