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Predict Disease

Video consultation platform connecting doctors and patients with data-driven insights

telehealthhealth AImedtechdigital health
Employees4
LocationNew York, NY
Business modelB2B2C / B2C via telemedicine platform

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

telemedicinehealth AIdigital healthpredictive analytics

Products

Video consultation platformSymptom analysis platform (Symptom AI)Analytics PlatformHealth self-assessment tools

Key features

Video consultations for doctors and patientsSymptom and condition identificationLab exams integrationPhysician notesPredictive risk scoringReal-time insightsLifestyle questionnaireHealth check-up tooling

Technologies

AI / machine learningBig dataCloud storageReal-time analytics

Integrations

EHRs / electronic health records

Care settings

virtual/online

Investors

Signite PartnersHana Financial GroupGGV Capital

News

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Profile updated Jul 29, 2026. Sources: predictdisease.com

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