Updated on 26 May 2025
Advanced AI/ML for Complex Medical Data & Risk Prediction
AI/ML Researcher at International Clinical Research Center, St. Anne's University Hospital
Brno, Czech Republic
About
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:
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Multi-modal Data Fusion: Integrating diverse data sources into joint-embedding architectures for richer insights.
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Weakly-Supervised & Contrastive Learning: Building powerful models for biomarker discovery with incomplete labels.
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Time-to-Event Deep Risk Models: Developing sophisticated deep risk prediction models that go beyond traditional methods.
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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.
Field
- Artificial Intelligence (AI)
- Big data & analytics
- Health
- Responsible research and innovation
Organisation
International Clinical Research Center, St. Anne's University Hospital
Research organisation
Brno, Czech Republic
Similar opportunities
Expertise
Unique High-Granularity Cardiac Data Supporting Explainable AI
- Health
- Standardisation
- Big data & analytics
- Artificial Intelligence (AI)
- Responsible research and innovation
Jakub Hejc
AI/ML Researcher at International Clinical Research Center, St. Anne's University Hospital
Brno, Czech Republic
Expertise
Technology integration and exploitation
- Health
- Energy
- Robotics
- Cloud computing
- Circular economy
- Big data & analytics
- Language Technologies
- Software technologies
- Smart homes and grids
- Interactive technologies
- Internet of Things (IoT)
- Artificial Intelligence (AI)
Luca Capra
Tecnical Expert at Spindox Labs
Expertise
Digital GreenTech – AI-Powered Energy Optimization & EU Funding Mastery
- Energy
- Environment
- Circular economy
- Big data & analytics
- Agriculture and food
- Software technologies
- Transport and mobility
- Artificial Intelligence (AI)
- Responsible research and innovation
Kay Suwelack
Professor for Digital Processes in Environmental Engineering at Hochschule Bremen - City University of Applied Sciences
Bremen, Germany