2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
How Omicron escapes from antibodies
A computational study shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2.
Life Sciences Supermind Report outlines proposed solutions to re-imagine the global health ecosystem
Collective intelligence methodology identifies key findings to accelerate the pace of innovation and build health resilience.
Seeing into the future: Personalized cancer screening with artificial intelligence
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
MIT in the media: 2021 in review
MIT community members made headlines around the world for their innovative approaches to addressing problems local and global.
Illuminating the history and global story of antibiotics
HASTS PhD student Rijul Kochhar tracks changing medical and microbial realities, and examines what they portend for society.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
New 10-minute test detects Covid-19 immunity
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.
Study finds the SARS-CoV-2 virus can infect the inner ear
The prevalence of auditory symptoms in Covid-19 patients is unknown, but infection of the inner ears may be responsible for hearing and balance problems.
Putting artificial intelligence at the heart of health care — with help from MIT
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Statistical model defines ketamine anesthesia’s effects on the brain
Neuroscientists at MIT and Massachusetts General Hospital develop a statistical framework that describes brain-state changes patients experience under ketamine-induced anesthesia.
Jordan Harrod: Brain researcher and AI-focused YouTuber
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.