“Nanoemulsion” gels offer new way to deliver drugs through the skin
Novel materials made with FDA-approved components could deliver large payloads of active ingredients.
From one brain scan, more information for medical artificial intelligence
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Drug makes tumors more susceptible to chemo
Compound that knocks out a DNA repair pathway enhances cisplatin treatment and helps prevent drug-resistance.
Biotech startup uses nanoparticles to induce immune tolerance
Selecta Bioscience’s ImmTOR platform could improve gene therapies and prevent some drug side effects.
Merging machine learning and the life sciences
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
Measuring chromosome imbalance could clarify cancer prognosis
A study of prostate cancer finds “aneuploid” tumors are more likely to be lethal than tumors with normal chromosome numbers.
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.