Behind Covid-19 vaccine development
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
An artificial intelligence tool that can help detect melanoma
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
AI Cures: data-driven clinical solutions for Covid-19
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.
MIT-Takeda program launches
Research projects will harness the power of artificial intelligence to positively impact human health.
MIT conference reveals the power of using artificial intelligence to discover new drugs
Inaugural AI Powered Drug Discovery and Manufacturing Conference drew pharmaceutical companies, government regulators, and pioneering drug researchers.
Artificial intelligence yields new antibiotic
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
MIT School of Engineering and Takeda join to advance research in artificial intelligence and health
A key part of J-Clinic, the MIT-Takeda Program will create educational opportunities and support cutting-edge research to positively impact human health.
Painting a fuller picture of how antibiotics act
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
With new Proto Ventures Program, MIT Innovation Initiative turns ideas into impact
MITii will hire experts to pursue new business opportunities by matching MIT expertise and innovation with real-world problems.
Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health
MacArthur “geniuses” in machine learning and synthetic biology to serve as faculty co-leads; Nobel laureate to chair advisory board of new research center.
Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment
A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.