SciTransfer
SMASH-HCM · Project

AI-Powered Digital Twin Platform for Personalized Hypertrophic Cardiomyopathy Diagnosis and Treatment

healthTestedTRL 5

Imagine having a digital copy of your heart that doctors can use to test treatments before actually giving them to you. This tool combines a patient's genetic data and medical scans to predict how their heart will behave. It helps doctors move away from a one-size-fits-all approach to treat heart disease more precisely.

By the numbers
1:200 - 1:500
Prevalence of HCM
16
Total partners
18
Total deliverables
The business problem

What needed solving

Hypertrophic cardiomyopathy is often treated as a single disease despite diverse phenotypes, leading to suboptimal care and high risks of sudden cardiac death. There is a lack of precise tools to stratify patients and personalize treatment.

The solution

What was built

A digital-twin platform integrating biophysical and data-driven models, a SMASH_HCM database, and in-vitro cardiac tissue models for drug screening and patient stratification.

Audience

Who needs this

Cardiology clinicsPharmaceutical R&D departmentsMedical AI software developersHealth insurance providers focusing on precision medicine
Business applications

Who can put this to work

Pharmaceuticals
enterprise
Target: Drug Discovery Firm

If you are a drug discovery firm dealing with high failure rates in cardiac drug trials — this project developed molecular modelling and data-driven tools that screen transcriptomic data to find new candidates through drug repurposing.

Medical Devices
SME
Target: Health-Tech Software Provider

If you are a health-tech software provider dealing with the lack of precision in cardiac diagnostics — this project developed a decision support solution using explainable AI that integrates multi-organ biophysical data.

Healthcare Providers
mid-size
Target: Specialized Cardiac Clinic

If you are a cardiac clinic dealing with suboptimal care due to treating HCM as a single disease — this project developed a three-level deep phenotyping approach to improve patient stratification and management.

Frequently asked

Quick answers

What is the cost or pricing model for the platform?

Based on available project data, specific pricing or cost details are not provided, although the project aims to provide a cost-efficient solution for the disease.

Can this be scaled to other cardiac diseases?

Yes, the project serves as a basis for future digital-twin platforms for other cardiac diseases by integrating models and data from various scales and sources.

What is the IP and licensing strategy?

Based on available project data, the specific licensing terms are not listed, but the project is developing a strategy towards fast regulatory approval.

How is the solution integrated into clinical workflows?

The platform uses a three-level deep phenotyping approach specifically designed for fast uptake into the clinical workflow for healthcare professionals.

What is the timeline for clinical validation?

The project runs from 2024-01-01 to 2027-12-31 and includes a pilot clinical trial to validate the stratification and management strategy.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring a 31% industry ratio with 5 industrial partners, including 3 SMEs and one global health-technology corporation. The collaboration involves 16 partners across 8 countries, blending the academic rigor of 9 universities and 2 research centers with the practical application of 3 hospitals, ensuring the tool is clinically validated and market-ready.

How to reach the team

Contact TAMPEREEN KORKEAKOULUSAATIO SR in Finland

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for the SMASH-HCM digital twin platform.

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