SleepFM is a novel foundation model developed to analyze polysomnography (PSG) recordings, facilitating accurate predictions of various health conditions based on sleep data. Trained on over 585,000 hours of sleep recordings, it demonstrates strong performance in predicting diseases such as dementia and heart failure, while also supporting standard sleep analysis tasks.