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CardioMe

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Запрос проекта:

200.000 USD

Описание проекта

Meet CardioMe — an AI-powered platform for hypertension risk prediction and treatment support!


CardioMe is a next-generation medical platform designed to support personalized treatment of arterial hypertension through the analysis of individual patient data. At its core is a neural network model that predicts the probabilities of key clinical conditions (including complications) and transfers this information to a medical protocol-driven logic module that suggests customized treatment strategies.

The goal is to move from generalized hypertension therapy to data-driven personalized care, reducing the risk of stroke, heart failure, and overmedication.


Traction so far:

🧠 Custom neural architecture built for medical tabular data with missing values

📊 Model outputs a 6-dimensional probabilistic profile per patient

📄 Clinical recommendation engine under development based on ESC/ESH protocols

🧪 System validated with both full and incomplete patient records (e.g., without ABPM)

📚 Framework backed by 19+ peer-reviewed clinical and technical sources


 How the System Works

  1. Input: Structured clinical data — biochemistry, clinical history, ECG interpretation, lifestyle, and risk factors.
  2. Prediction: The neural network estimates the likelihood of six hypertensive states or complications.
  3. Interpretation: These probabilities are cross-referenced with official clinical protocols (ESC/ESH, Ministry of Health, etc.).
  4. Output: The system provides adaptive, guideline-compliant treatment suggestions, which clinicians can review and adjust.


Market Opportunity:

💰 1.28B people globally suffer from hypertension

📉 Over 46% of hypertensive patients are undiagnosed or undertreated

📈 Hospitals and clinics are actively digitizing decision support tools

⚕️ AI-based risk estimation is a key part of personalized medicine roadmaps


What’s next:

We are currently finalizing the treatment planning module, designing interfaces for both physicians and patients, and preparing for integration with clinical IT systems. A pilot study in medical institutions is planned.


👉 If you’re interested in transforming hypertension therapy through AI-driven personalization, we welcome collaboration with clinicians, AI developers, and health tech partners.

📄 Technical documentation and architectural prototypes available upon request

💬 Talk to the CardioMe team — we’ll be happy to share more!

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CardioMe

Этапы развития: 1/7

Запрос проекта:

200.000 USD