vimarsana.com
Home
Live Updates
Machine-learning model could help identify treatments that p
Machine-learning model could help identify treatments that p
Machine-learning model could help identify treatments that pose higher risk than other options
Sepsis claims the lives of nearly 270,000 people in the U.S. each year. The unpredictable medical condition can progress rapidly, leading to a swift drop in blood pressure, tissue damage, multiple organ failure, and death.
Related Keywords
India ,
Canada ,
Taylor Killian ,
Marzyeh Ghassemi ,
Mehdi Fatemi ,
Jayakumar Subramanian ,
Emily Henderson ,
Microsoft Research ,
Artificial Intelligence Laboratory ,
Canada Research Council ,
Beth Israel Deaconess Medical Center ,
Natural Sciences ,
Engineering Research Council Of Canada Discovery Grant ,
Computer Science ,
Assistant Professor Marzyeh Ghassemi ,
Neural Information Processing ,
Dead End Discovery ,
Canadian Institute ,
Advanced Research Azrieli Global Scholar Chair ,
Canada Research Council Chair ,
Engineering Research Council ,
Canada Discovery ,
Blood ,
Blood Pressure ,
Doctor ,
Hospital ,
Intensive Care ,
Research ,
Sepsis ,