Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.
Tenth anniversary of the program rewards three innovative projects.
Using this diagnostic, doctors could avoid prescribing antibiotics in cases where they won’t be effective.
Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
MISTI Global Seed Funds program provides millions of dollars to advance international collaborations for MIT faculty.
Brown and three other scientists recognized for advancing statistical, theoretical analyses of neuroscience data.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Following the successful development of vaccines against Covid-19, scientists hope to deploy mRNA-based therapies to combat many other diseases.
Innovative brain-wide mapping study shows that an “engram,” the ensemble of neurons encoding a memory, is widely distributed and includes regions not previously realized.
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.
Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.