MyPattern
MyPattern is a women's health intelligence platform that combines lab results, symptoms, wearable data, supplements, and medical history into a personalized, longitudinal view of each user's health. The platform identifies patterns over time to deliver tailored insights and course-of-action recommendations, supported by a privacy-first design that lets users control data sharing. It aims to bridge the gap between patient experiences and clinical care by equipping women with organized documentation and data-backed questions for healthcare appointments.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Software Only
- Wellness & Fitness Technology
Funding
Founders
Product
Problem
Women often experience symptoms that are dismissed or misdiagnosed in brief clinical visits, leaving them without clear answers about their health. Standard care relies on population averages and fragmented data, which misses the individual patterns that could reveal underlying issues. This leaves many women navigating symptom management on their own without a complete picture of their health.
Solution
MyPattern provides a women’s health intelligence platform that integrates lab results, symptoms, wearable data, supplement protocols, and medical history into a single, evolving view of the user. The system establishes a personal baseline over time to surface longitudinal patterns and deliver tailored insights and course-of-action recommendations. It is designed to work alongside clinicians, giving users organized data and relevant questions to bring to appointments for more productive discussions. Users can start with as little as symptoms and supplements, and connect medical records or wearables to unlock deeper analysis, while maintaining control over what data is shared and for how long.
Target Audience
Primary customers are women aged 18 and older who want to better understand their unique health patterns, particularly those with ongoing symptoms, hormonal concerns, or life-stage transitions such as perimenopause and menopause.
Features
- Combines lab results, symptom tracking, wearable data, supplement protocols, and medical history into one unified health profile
- Longitudinal pattern recognition that builds a personal baseline from user data rather than population averages
- Personalized recommendations for lab tests and lifestyle changes based on identified patterns
- Integrates with wearables like Apple Watch and patient portals like MyChart for continuous data updates
- Privacy-first architecture that allows users to control data access duration and ensures health data is never sold to advertisers, employers, or insurers