Advanced AI/ML for Complex Medical Data & Risk Prediction

Our CZ-based team, a unique blend of AI/ML researchers and clinical cardiac electrophysiologists, offers a comprehensive expertise in developing and validating advanced AI solutions for healthcare.

Our Core Expertise Includes:

• Multi-modal Data Fusion: Integrating diverse data sources into joint-embedding architectures for richer insights.

• Weakly-Supervised & Contrastive Learning: Building powerful models for biomarker discovery with incomplete labels.

• Time-to-Event Deep Risk Models: Developing sophisticated deep risk prediction models that go beyond traditional methods.

• Semi-Automated ML Data Processing Pipelines: Leveraging our unique, highly granular ECG/3D electroanatomy data from patients undergoing invasive examination

We have a proven track record in applying these methods to cardiology time series and cloud of points data for discovering novel biomarkers and predicting patient outcomes.

We Are Looking For: Horizon Europe partners (Digital or Health) who need cutting-edge AI expertise to tackle complex data challenges, build predictive models, or add sophisticated AI/ML capabilities to their consortium. We can act as a key R&D and technology-providing partner.