Predict Disease
Video consultation platform connecting doctors and patients with data-driven insights
About
Predict Disease is a healthcare analytics platform that is driven by artificial intelligence and machine learning, to assist patients and primary care physicians by measuring the potential risk of any chronic disease that starts with minor symptoms. The platform leverages data from lifestyle activities, social media/website forums, research papers, medical articles and outcomes, and family history, matching these with known signs/symptoms and other demographic characteristics for the early detection of the chronic disease. The main objective is to identify high-risk patients that are more likely to develop chronic disease during regular body checkup/primary care visits, and then help primary care physicians to provide insights and personalized recommendations on reducing the risk and preventing or delaying disease.
Product
- Value proposition
- Predict Disease offers telemedicine video consultations, symptom analysis, and analytics to improve chronic disease management and patient outcomes by predicting risk and guiding care.
- Target customers
- Healthcare providers, clinics, telemedicine platforms, hospitals seeking telehealth and predictive analytics
Categories
Products
Key features
Technologies
Integrations
Care settings
Investors
News
- Predictia.life: Take care of your health · 2025-05-06T07:39:46.000Z
- NU Grads Launch AI Startup to Reduce Post-Surgical Infections · 2025-09-02T16:31:37.000Z
- IMVARIA | Clinical AI Starting in Lung Disease
- MedPredict Pvt. Ltd. launches MediElaj with AI diagnostic engine delivering 90%+ efficiency - ET Edge Insights · 2026-05-13T07:40:22.000Z
- Landmark Study in the Lancet Digital Health: Sensifai's AI Predicts Acute Systemic Inflammation With 90% Sensitivity | Newswire · 2025-07-02T13:00:00.000Z
- Predictive AI selected as ‘Deep Tech Tips’ by the Ministry of SMEs and Startups - 벤처스퀘어 · 2025-01-24T05:14:08.000Z
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Profile updated Jul 29, 2026. Sources: predictdisease.com


