People with Type 1 diabetes may soon be able to count on an algorithm to keep their blood sugar levels within a healthy range, as research to tap the power of Big Data for automating personalized glucose monitoring and insulin delivery is underway.
A large health data-sharing consortium based in Pittsburgh is bringing in Amazon Web Services to help drive research and product development around machine learning and cloud computing in numerous areas of healthcare.
Researchers at the University of Delaware are developing a system of wearable video devices and AI analysis tools that, they hope, will help make roads and sidewalks friendlier to walkers, joggers, bicyclists and anyone else keeping fit outdoors.
AI and deep learning can extract molecular markets of breast cancer from tissue morphology and assist pathologists in a mass-scale molecular profiling, according to new research published in JAMA Network Open.
Compared with standard statistical reviews of process-control charts, AI analysis of data routinely captured by hospitals monitoring handwashing compliance can provide highly targeted and actionable feedback to individual healthcare workers.
Combining machine learning with statistical modeling, researchers have analyzed tweets to figure out who’s doing more to keep fit—men or women—along with exactly how the sexes are exercising and approximately where they live.