MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
Tools 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.
Ianacare, co-founded by Steven Lee ’97, MEng ’98, equips caregivers with the resources, networks, and tools they need to support loved ones.
The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.
Launched with a gift from the Biswas Family Foundation, the Biswas Postdoctoral Fellowship Program will support postdocs in health and life sciences.
In an analysis of over 160,000 transplant candidates, researchers found that race is linked to how likely an organ offer is to be accepted on behalf of a patient.
The Substance Use Disorders Ventures Bootcamp ignites innovators like Evan Kharasch to turn research breakthroughs into treatments for substance use disorder.
The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
The BiophysicaL Immune Profiling for Infants (BLIPI) profiles an infant’s immune system in under 15 minutes, using just a single drop of blood.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
MIT study finds an easily measurable brain wave shift may be a universal marker of unconsciousness under anesthesia.
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
One combination of methods led to a 44 percent increase in child immunizations.