World-class diagnostics for low-income communities in sub-Saharan Africa
MDaaS Global works to transform health care in Africa by bringing high-end medical diagnostics to low-income communities.
Study: Social robots can benefit hospitalized children
Interacting with a robotic teddy bear invented at MIT boosted young patients’ positive emotions, engagement, and activity level.
From one brain scan, more information for medical artificial intelligence
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Wireless movement-tracking system could collect health and behavioral data
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
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.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
MIT D-Lab awards fellowships to six East African social entrepreneurs
The one-year Scale-Ups Fellowships program provides each fellow with a $20,000 grant and support tailored to address their specific needs.
“Inactive” ingredients may not be, study finds
Most pills contain compounds with potential to cause allergic reactions or discomfort in some patients.
A new way to calculate global intensive care unit mortality risk
The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.
Low-cost ventilator wins Sloan health care prize
Device was one of eight inventions pitched at this year’s MIT Sloan Healthcare Innovations Prize competition.
Redesigning pharmacies with the consumer in mind
Alto Pharmacy uses software and an innovative operations model to improve access to medication.
The gift of light, through science and service
Professor Pawan Sinha addresses a humanitarian need — treatable blindness — and advances our understanding of visual development in the brain.
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Julia Lab joins team to speed up drug approval process
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
AI, the law, and our future
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.