An “oracle” for predicting the evolution of gene regulation
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
Launchpad for health care entrepreneurs
MIT Sandbox inspires highly sought health care innovations with its new Independent Activities Period program.
Deep-learning technique predicts clinical treatment outcomes
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
Mentorship and medicine
MIT senior Daniel Zhang aims to provide hope for young patients and support to young students.
Probing how proteins pair up inside cells
MIT biologists drilled down into how proteins recognize and bind to one another, informing drug treatments for cancer.
Seeing into the future: Personalized cancer screening with artificial intelligence
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
SMART researchers develop method for early detection of bacterial infection in crops
The Raman spectroscopy-based method enables early detection and quantification of pathogens in plants, to enhance plant disease management.
Investigating pathogens and their life cycles, for the benefit of society
Senior Desmond Edwards has an insatiable curiosity about how the human body works — and how diseases stop it from working.
Carbon nanotube-based sensor can detect SARS-CoV-2 proteins
The technology could be developed as a rapid diagnostic for Covid-19 or other emerging pathogens.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Study provides suggestions for keeping classroom air fresh
MIT team looks at classroom configurations and offers modifications to enhance safety during Covid-19 pandemic.
Machine learning discovers new sequences to boost drug delivery
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.