A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many of these dyes resist normal treatment, threatening aquatic life and human ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

3News' Candice Hare sat down with the candidates who are running for a spot on Lakewood's school board. Secret Service finds 17 'skimming' devices in tour of San Antonio businesses Trump’s push to ...

NFC teams with playoff aspirations clash when the Seattle Seahawks meet the Washington Commanders in NFL Week 9 'Sunday Night Football' at 8:20 p.m. ET from Northwest Stadium in Landover, Md. The ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...