Most health AI is built on population data. Your symptoms are averaged against thousands of other people, and you get a generalised prediction that fits nobody perfectly. I took a different approach with Menopause Intelligence — an iOS app I've been building that predicts high-symptom days for women in perimenopause and menopause. The entire model runs on-device, trained on the individual user's own data. No cloud, no population averages, no third-party data sharing. The problem with cloud-based health AI Population models work when you want average answers. But perimenopause is deeply individual. Two women with identical ages and similar symptom profiles can have completely different biometric triggers. The app's job is to tell a user her patterns — not what typically happens to women like her.…