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 ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

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 ...

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

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...