Estimating suicide risk from text
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.
Read MoreSponsor content from Mastercard.
Read MoreFrom early motion-sensing platforms to environmental monitoring, the professor and head of the Program in Media Arts and Sciences has turned decades of cross-disciplinary research into real-world impact.
Read MoreBy providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Read MoreCo-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.
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Read MoreBy enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Read MoreTools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.
Read MoreA new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
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