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

Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart rate and more. But one thing your Garmin can't measure is plain old physics ...

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.

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

Traditionally, the term “braindump” referred to someone taking an exam, memorizing the questions, and sharing them online for others to use. That practice is unethical and violates the ISC2 ...

The Healy device promises to heal everything - from pain to depression - using “quantum frequencies.” But investigators have uncovered shocking truths about how it actually works. Sold for up to ...

Despite the title of this article, this is not a braindump in the traditional sense. You see, I don’t believe in cheating. Traditionally, the term “braindump” referred to someone taking an exam, ...

'Thinking about moving to Canada? Did you know Canada has public health care?' You can save this article by registering for free here. Or sign-in if you have an account. First Reading is a Canadian ...

An expert clinical advisory panel convened by mental health company Spring Health has released what it calls the first open source evaluation for validating AI in mental health. The benchmark is aimed ...

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