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.
MIT biologists drilled down into how proteins recognize and bind to one another, informing drug treatments for cancer.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
The Raman spectroscopy-based method enables early detection and quantification of pathogens in plants, to enhance plant disease management.
Senior Desmond Edwards has an insatiable curiosity about how the human body works — and how diseases stop it from working.
The technology could be developed as a rapid diagnostic for Covid-19 or other emerging pathogens.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
MIT team looks at classroom configurations and offers modifications to enhance safety during Covid-19 pandemic.
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
Blocking a key enzyme could kill parasites that have evolved resistance to existing drugs.
A new study calculates the waste generated by N95 usage and suggests possible ways to reduce it.
Four times faster than conventional PCR methods, new RADICA approach is highly specific, sensitive, and resistant to inhibitors.
How 3D-printed models of neuronal axons could accelerate development of new therapies to treat neurodegenerative disorders.