Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

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

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

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.

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