Structure of T cell epitopes a decisive factor in natural HIV control, study finds
Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.
Painting a fuller picture of how antibiotics act
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
Tissue chip headed to International Space Station for osteoarthritis study
Successfully launched project aims to understand why some injuries result in post-traumatic osteoarthritis while others heal and recover.
Using AI to predict breast cancer and personalize care
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
3Q: Susan Hockfield on a new age of living machines
Convergence research at MIT and beyond seeks new solutions for global challenges.
Merging cell datasets, panorama style
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
New approach could accelerate efforts to catalog vast numbers of cells
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
Alumnus gives MIT $4.5 million to establish the Broderick Fund for Phytocannabinoid Research
Gifts to MIT and Harvard Medical School totaling $9 million will fund independent research on cannabinoid’s influence on brain health and behavior.
Imaging system helps surgeons remove tiny ovarian tumors
More effective surgery could boost survival rates for ovarian cancer.
Working out makes hydrogels perform more like muscle
Mechanical “training” produces strong, fatigue-resistant, yet soft hydrogels with possible uses in medicine.
Biologists find a way to boost intestinal stem cell populations
Study suggests that stimulating stem cells may protect the gastrointestinal tract from age-related disease.
Model learns how individual amino acids determine protein function
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
Academic institutions grant commercial license for CRISPR-based SHERLOCK diagnostic technology in developed world
Rights are protected for broad use in developing world and for public health needs.
Using machine learning for medical solutions
Master’s student and Marshall Scholar Kyle Swanson uses computer science to help make drug development more efficient.