AIAI for healthStory 06
Two million hours of sleep train one model
What changedResearchers trained SleepFM-2 on more than two million hours from 235,865 overnight recordings, then tested transfer across diseases, expert-scored sleep events, wearables, and subjective reports. The scale is unusual and the held-out tests are broad. It remains a preprint and does not establish clinical benefit or diagnostic approval.
The useful part
Why it matters
One learned view of overnight brain, heart, muscle and breathing signals may support many downstream health studies instead of a separate model for each sensor and task.
Keep in mind
Good to know
The paper is a preprint and does not establish clinical benefit or diagnostic approval.
Evidence