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.
AI-Powered Digital Twin Platform for Personalized Hypertrophic Cardiomyopathy Diagnosis and Treatment
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.
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.
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.
Who needs this
Who can put this to work
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.
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.
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.
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.
Contact TAMPEREEN KORKEAKOULUSAATIO SR in Finland
Talk to the team behind this work.
Contact us to explore licensing opportunities for the SMASH-HCM digital twin platform.