Clinical trial data key to personalization of treatment decisions
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
“Building Sustainable Healthcare Systems through Innovation and Entrepreneurship” will bring together entrepreneurs, academics, healthcare professionals and policymakers from around the world.
The study is the first randomized evaluation of the impact of Clinical Decision Support
MIT Sloan School of Management’s Initiative for Health Systems Innovation (HSI) recently announced a formal collaboration with the Staten Island Performing Provider System (SI PPS).
The MIT Laboratory for Financial Engineering (LFE) and Informa Pharma Intelligence announced a new initiative, Project ALPHA (Analytics for Life-sciences Professionals and Healthcare Advocates).
These three health care executives have found ways to leverage data for better collaboration.
The Designing for Health: Leveraging Analytics for a Proactive Health System Conference will focus on using technology innovations to benefit all health system participants.
An economic analytics of health care experiments could save money.
35 percent of grants produce research that influences private sector efforts.