Health Care
Health Care

Health Care

Artificial Intelligence Awards, honors and fellowships Biological engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Funding Health Care Industry Innovation and Entrepreneurship (I&E) Koch Institute MIT Schwarzman College of Computing Pharmaceuticals School of Engineering

Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences

MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.

Algorithms Anthropology Artificial Intelligence Augmented and virtual reality Biology Brain and cognitive sciences Business and management Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Economics Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty Government Graduate, postdoctoral Health Care Humanities IDSS Industry machine learning Mathematics MIT Schwarzman College of Computing MIT Sloan School of Management Political science Program in STS Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Government Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers

Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.

Artificial Intelligence Computer science and technology Data Ethics Health Care Health sciences and technology Innovation and Entrepreneurship (I&E) Institute for Medical Engineering and Science (IMES) machine learning Medicine MISTI MIT Sloan School of Management Profile School of Engineering Staff Technology and society

Joining the battle against health care bias

Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.

Algorithms Artificial Intelligence Chemical engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Health Care Industry machine learning Manufacturing Mechanical engineering Medicine Pharmaceuticals Research School of Engineering

Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

Alumni/ae Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Electrical Engineering & Computer Science (eecs) Health Care Innovation and Entrepreneurship (I&E) machine learning School of Engineering Startups

Helping companies deploy AI models more responsibly

MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.

AI Adoption Artificial Intelligence data analysis data science Health Care machine learning

Machine Learning Takes On Sepsis

By Deborah Borfitz, Senior Science Writer An early-stage startup is endeavoring to help clinical teams deliver high-value critical care with precision, and its first target is sepsis—a life-threatening complication of infection that kills one in three stricken adults and one in 10 kids. Its chief tactics are to “organize behavior at the bedside” and make […]

AI World 2019 Analytics Artificial Intelligence data analysis Health Care healthcare machine learning Predictive Analytics

Prime Therapeutics Using AI to Analyze Prescription Data, Detect Fraud

By AI Trends Staff Prime Therapeutics, a drug cost management firm 66,000 client pharmacies and 28 million members, is working with software supplier SAS to analyze prescription ordering data in an effort to identify fraud. Owned by the Blue Cross Blue Shield health insurance organization, Prime Therapeutics is having some success in its efforts. The […]

ai in business AI in Science Artificial Intelligence Health Care machine learning Predictive Analytics

AI of Sensors: Preview of the Sensors Summit, Dec. 10-12, San Diego

By AI Trends Staff Sensors have become ubiquitous. Current advances in sensor technology are revolutionizing nearly every aspect of our society. But it’s the symbiosis of sensors and AI that’s so compelling.  By blending hardware and software, sensors can interact with the physical world and connect to the digital world. If this is the kind […]

AI in Canada AI Research Artificial Intelligence Health Care healthcare machine learning Predictive Analytics

Executive Interview: Dr. Russell Greiner, Professor CS and founding Scientific Director of the Alberta Machine Intelligence Institute

After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science and the founding Scientific Director of the Alberta Innovates Centre for Machine Learning (now Alberta Machine Intelligence Institute), which won the ASTech Award for “Outstanding Leadership in Technology” in […]