Tag : Regina Barzilay

AI/ML

Materials Day talks examine the promises and challenges of AI and machine learning

Newsemia
The promises and challenges of artificial intelligence and machine learning highlighted the Oct. 9 MIT Materials Day Symposium, with presentations on new ways of forming...
AI/ML

Better fact-checking for fake news

Newsemia
The 21st century has opened up a boundless mass of headlines, articles, and stories. This information influx, however, is partially contaminated: Alongside factual, truthful content...
AI/ML

Using AI to predict breast cancer and personalize care

Newsemia
Despite major advances in genetics and modern imaging, the diagnosis catches most breast cancer patients by surprise. For some, it comes too late. Later diagnosis...
AI/ML

Using machine learning for medical solutions

Newsemia
Pharmaceutical companies spend a lot of time testing potential drugs, and they end up wasting  much of that effort on candidates that don’t pan out....
AI/ML

Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms

Newsemia
Researchers from MIT and Massachusetts General Hospital have developed an automated model that assesses dense breast tissue in mammograms — which is an independent risk...
AI/ML

Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health

Newsemia
Regina Barzilay and James Collins have been named the faculty co-leads of the Abdul Latif Jameel Clinic for Machine Learning in Health, or J-Clinic, effective...
AI/ML

Applying machine learning to challenges in the pharmaceutical industry

Newsemia
MIT continues its efforts to transform the process of drug design and manufacturing with a new MIT-industry consortium, the Machine Learning for Pharmaceutical Discovery and...
AI/ML

Automating molecule design to speed up drug development

Newsemia
Designing new molecules for pharmaceuticals is primarily a manual, time-consuming process that’s prone to error. But MIT researchers have now taken a step toward fully...

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