health
health

health

Artificial Intelligence Batteries Cleaner industry Climate Computer science and technology Electronics Energy health Industry Innovation and Entrepreneurship (I&E) Materials science and engineering MIT.nano Nanoscience and nanotechnology Photonics Quantum Computing School of Engineering School of Science Semiconductors Startups Superconductivity Technology and society

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.

Alumni/ae Artificial Intelligence Digital technology Ecology Electronics Environment Faculty health Internet Of Things machine learning Media Lab Medicine Physics Profile School of Architecture and Planning School of Science sensors Space Wearable sensors Wireless

How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

From early motion-sensing platforms to environmental monitoring, the professor and head of the Program in Media Arts and Sciences has turned decades of cross-disciplinary research into real-world impact.

Algorithms Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Diagnostics Electrical engineering and computer science (EECS) Genetics health IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

AI to help researchers see the bigger picture in cell biology

By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.

Algorithms Alumni/ae Artificial Intelligence Disease Electrical engineering and computer science (EECS) health Innovation and Entrepreneurship (I&E) machine learning Medicine School of Engineering Startups

Helping scientists run complex data analyses without writing code

Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) health Health Care Imaging machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

New AI system could accelerate clinical research

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Artificial Intelligence Augmented and virtual reality Biomedical sensors Brain and cognitive sciences Collaboration Diagnostic devices health Health Care Invention Lincoln Laboratory Mobile applications Neuroscience Security studies and military Sports and fitness

New technologies tackle brain health assessment for the military

Tools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.

Algorithms Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease Electrical engineering and computer science (EECS) Genetics health IDSS Laboratory for Information and Decision Systems (LIDS) Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Pharmaceuticals Research School of Engineering

How to more efficiently study complex treatment interactions

A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.

Alumni/ae Artificial Intelligence Awards, honors and fellowships Biological engineering Collaboration Funding Graduate, postdoctoral health Health Care Health sciences and technology Koch Institute Research School of Engineering

New postdoctoral fellowship program to accelerate innovation in health care

Launched with a gift from the Biswas Family Foundation, the Biswas Postdoctoral Fellowship Program will support postdocs in health and life sciences.

Artificial Intelligence Computer science and technology Diagnostics Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

LLMs factor in unrelated information when recommending medical treatments

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.

Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease DNA Electrical engineering and computer science (EECS) health Health Care IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Pharmaceuticals Proteins Research School of Engineering

With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.