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.
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.
New MIT initiative seeks to transform rare brain disorders research
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
AI maps how a new antibiotic targets gut bacteria
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Study shows mucus contains molecules that block Salmonella infection
MIT researchers now hope to develop synthetic versions of these molecules, which could be used to treat or prevent foodborne illnesses.
Inflammation jolts “sleeping” cancer cells awake, enabling them to multiply again
Chemotherapy-induced injury of organ tissue causes inflammation that awakens dormant cancer cells, which may cause new tumors to form.
New RNA tool to advance cancer and infectious disease research and treatment
Advance from SMART will help to better identify disease markers and develop targeted therapies and personalized treatment for diseases such as cancer and antibiotic-resistant infection.
Technology originating at MIT leads to approved bladder cancer treatment
A system conceived in Professor Michael Cima’s lab was approved by the Food and Drug Administration after positive results in patients.
Study explains how a rare gene variant contributes to Alzheimer’s disease
Lipid metabolism and cell membrane function can be disrupted in the neurons of people who carry rare variants of ABCA7.
MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
Locally produced proteins help mitochondria function
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
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.
Mapping cells in time and space: New tool reveals a detailed history of tumor growth
Researchers developed a tool to recreate cells’ family trees. Comparing cells’ lineages and locations within a tumor provided insights into factors shaping tumor growth.
Scientists apply optical pooled CRISPR screening to identify potential new Ebola drug targets
Combining powerful imaging, perturbational screening, and machine learning, researchers uncover new human host factors that alter Ebola’s ability to infect.
MIT launches a “moonshot for menstruation science”
The Fairbairn Menstruation Science Fund will allow researchers to accelerate the understanding and treatment of often-neglected diseases that tend to be more common in women.