Harvard-MIT Health Sciences and Technology
Harvard-MIT Health Sciences and Technology

Harvard-MIT Health Sciences and Technology

Alumni/ae Alzheimer's Artificial Intelligence Brain and cognitive sciences Disease Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Innovation and Entrepreneurship (I&E) Institute for Medical Engineering and Science (IMES) machine learning Mental health Neuroscience Parkinson's School of Engineering School of Science Startups

Beacon Biosignals is mapping the brain during sleep

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.

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.

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.

Alumni/ae Artificial Intelligence Awards, honors and fellowships Biology Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Electrical engineering and computer science (EECS) Faculty Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Koch Institute Mechanical engineering MIT Schwarzman College of Computing Physics Ragon Institute School of Engineering School of Science Vaccines Wireless

Five with MIT ties elected to National Academy of Medicine for 2025

Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.

Artificial Intelligence Computer science and technology Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic Medicine MIT Schwarzman College of Computing Research Research Laboratory of Electronics School of Engineering

Can deep learning transform heart failure prevention?

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

Artificial Intelligence Awards, honors and fellowships Computer science and technology Data Deshpande Center Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Harvard-MIT Health Sciences and Technology Innovation and Entrepreneurship (I&E) machine learning School of Engineering Students

Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

Alzheimer's Artificial Intelligence Autism Awards, honors and fellowships Bioengineering and biotechnology Biological engineering Cancer Chemical engineering Civil and environmental engineering Data DMSE Drug development Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Harvard-MIT Health Sciences and Technology Health sciences and technology Imaging Jameel Clinic machine learning Mechanical engineering Parkinson's Pharmaceuticals Research School of Engineering Students Wearable sensors

2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

Artificial Intelligence Cambridge, Boston and region Classes and programs Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Education, teaching, academics Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology health Institute for Medical Engineering and Science (IMES) Jameel Clinic K-12 education machine learning Media Lab Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers STEM education

How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.

Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Imaging Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans

The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.

Artificial Intelligence Biological engineering Biology Broad Institute Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Mechanical engineering MIT Schwarzman College of Computing open source Research School of Engineering

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.