A causal theory for studying the cause-and-effect relationships of genes
By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.
Broad Institute of MIT and Harvard
A fast and flexible approach to help doctors annotate medical scans
“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.
Remembering Mathieu Le Provost: AeroAstro researcher, adventurer, and friend
“He dived deep, even into cold water, but came out stronger and brought along others for a joyous adventure.”
Alex Shalek named director of the Institute for Medical Engineering and Science
Professor who uses a cross-disciplinary approach to understand human diseases on a molecular and cellular level succeeds Elazer Edelman.
AI model identifies certain breast tumor stages likely to progress to invasive cancer
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Machine learning and the microscope
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
CHARMed collaboration creates a potent therapy candidate for fatal prion diseases
A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.
MIT Faculty Founder Initiative announces three winners of entrepreneurship awards
Twelve finalists participated in initiative and 2023-24 MIT-Royalty Pharma Prize Competition, designed to support female biotech pioneers.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
Five MIT faculty elected to the National Academy of Sciences for 2024
Guoping Feng, Piotr Indyk, Daniel Kleitman, Daniela Rus, Senthil Todadri, and nine alumni are recognized by their peers for their outstanding contributions to research.
New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
Student spotlight: Victory Yinka-Banjo
The junior, who is majoring in computer science and molecular biology, wants to “make it a norm to lift others as I continue to climb.”
Envisioning a time when people age without fear of dementia
Moved by the human devastation and scientific conundrum of Alzheimer’s, William Li seeks to work on therapies for the disease.
Scientists develop a rapid gene-editing screen to find effects of cancer mutations
With the new technique, MIT researchers hope to identify mutations that could be targeted with new cancer therapies.
Eight from MIT named 2024 Sloan Research Fellows
Fellows honored for creativity, innovation, and research accomplishments.