🐄 Your face predicts cancer survival

Researchers at Mass General Brigham in Boston built an AI that looks at a single photo of a cancer patient's face and predicts how likely they are to survive. The model focuses on two spots: the area around your temples and forehead to estimate biological age (how well your body has aged at the cellular level, not just how many birthdays you've had), and the bridge of your nose and under your eyes to gauge mortality risk.

These are the same facial areas the Greek physician Hippocrates described 2,400 years ago as signs of muscle wasting and approaching death. The AI was never taught that. It learned it on its own from 40 million photos and survival data.

A large new study suggests that roughly 25 percent of people with depression have what researchers are calling "circadian depression." That means their internal 24-hour clock (the system that tells your body when to sleep, eat, and release hormones) is out of sync, and that mismatch may be driving their symptoms. People in this group tend to feel exhausted in the morning, stay up late, and feel worse when the seasons change.

Standard antidepressants often do not work for these patients, with up to 68 percent of people seeing no improvement after their first round of treatment.

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The Trump administration launched a national kidney care plan this week designed to fix a treatment system it says is broken by monopolies and long waitlists. Roughly 37 million American adults have kidney disease, but most don't know it. By the time they do, the damage is often severe, and their options narrow fast.

Two companies, DaVita and Fresenius, control about 74 percent of the dialysis market. The plan calls for more competition in treatment and a faster path to transplants.

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