Reuniting forcibly separated families: How a machine-learning model can help

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Extreme temperature changes increase number of out-of-hospital cardiac arrests, model finds

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Capturing gravity waves: Scientists break 'decades of gridlock' in climate modeling

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...
Drexel University

Philadelphia Communities Help AI Computer Vision Get Better at Spotting Gentrification

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...
Psychiatry Advisor

Novel Machine Learning Model Accurately Predicts OUD Risk in Chronic Noncancer Pain

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

AI model more accurately predicts cardiac event risk from PET scan data

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Morning Overview on MSN

Can AI crack the code of physics beyond the standard model?

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...
Booth School of Business

Can a Machine-Learning Model Reason Like an Expert?

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...