School of Engineering welcomes new faculty in 2024-25
The newest MIT engineering faculty are conducting research across a diverse range of subject areas.
Topic
Institute for Medical Engineering and Science (IMES)
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In a surprising discovery, scientists find tiny loops in the genomes of dividing cells
Enabled by a new high-resolution mapping technique, the findings overturn a long-held belief that the genome loses its 3D structure when cells divide.
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
Scientists discover compounds that help cells fight a wide range of viruses
The molecules trigger a built-in cellular stress response and show promise as broad-spectrum antivirals against Zika, herpes, RSV, and more.
New AI system uncovers hidden cell subtypes, boosts precision medicine
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.
Changing the conversation in health care
The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.
Implantable device could save diabetes patients from dangerously low blood sugar
The new implant carries a reservoir of glucagon that can be stored under the skin and deployed during an emergency — with no injections needed.
MIT and Mass General Hospital researchers find disparities in organ acceptance
In an analysis of over 160,000 transplant candidates, researchers found that race is linked to how likely an organ offer is to be accepted on behalf of a patient.
MIT and Mass General Brigham launch joint seed program to accelerate innovations in health
The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.
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.
3 Questions: How to help students recognize potential bias in their AI datasets
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
Study shows vision-language models can’t handle queries with negation words
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
School of Engineering faculty and staff receive awards for winter 2025
Faculty members and researchers honored in recognition of their scholarship, service, and overall excellence.
Study of facial bacteria could lead to probiotics that promote healthy skin
During the early teen years, many new strains of C. acnes colonize the skin on our faces. This could be an optimal time for probiotic treatment.
In kids, EEG monitoring of consciousness safely reduces anesthetic use
Clinical trial finds several outcomes improved for young children when an anesthesiologist observed their brain waves to guide dosing of sevoflurane during surgery.