Machine-learning system could aid critical decisions in sepsis care Machine-learning system could aid critical decisions in sepsis care Researchers at MIT and MGH, in a new paper first-authored by HST student Varesh Prasad and co-authored by Professor Thomas Heldt, unveil a model for predicting whether ER sepsis patients need life-saving, but potentially harmful, vasopressors. Claudia Varela and Markus Horvath win Athanasiou ABME Student Award "Hey,Charlie" app supports those struggling with opioids "Hey, Charlie" is the brainchild of HST MEMP Ph.D. Alum Emily Lindemer. An app offering continual support via gentle reminders and words of caution, it's an ideal tool for those on the road to addiction recovery. Four HST alumni elected to National Academy of Medicine Benjamin Ebert, Jennifer Elisseeff, Matthew Meyerson, and Janey Wiggs were among 85 newly elected members recognized. Pagination First page « First Previous page Previous … Page 79 Page 80 Page 81 Current page 82 Page 83 Page 84 Page 85 … Next page Next Last page Last »
Machine-learning system could aid critical decisions in sepsis care Researchers at MIT and MGH, in a new paper first-authored by HST student Varesh Prasad and co-authored by Professor Thomas Heldt, unveil a model for predicting whether ER sepsis patients need life-saving, but potentially harmful, vasopressors.
"Hey,Charlie" app supports those struggling with opioids "Hey, Charlie" is the brainchild of HST MEMP Ph.D. Alum Emily Lindemer. An app offering continual support via gentle reminders and words of caution, it's an ideal tool for those on the road to addiction recovery.
Four HST alumni elected to National Academy of Medicine Benjamin Ebert, Jennifer Elisseeff, Matthew Meyerson, and Janey Wiggs were among 85 newly elected members recognized.