Cardiogenic shock
Machine-learning models for early prediction and improved outcomes in acute coronary syndrome.
We are a research and educational group working at the intersection of cardiovascular medicine, data science, and artificial intelligence - training the next generation of clinicians and scientists.
Machine-learning models for early prediction and improved outcomes in acute coronary syndrome.
Biomarker discovery and screening tools to detect AF earlier and personalize ablation strategies.
Data-driven risk stratification and treatment optimization for chronic coronary patients.
Machine-learning based scoring system to predict cardiogenic shock in acute coronary syndrome
The IRIS 2024 (Bratislava, Slovakia) again in in-person format
In-vitro antiplatelet effect of melatonin in healthy individuals and patients with type 2 diabetes mellitus
Plasmatic apelin as a screening biomarker for atrial fibrillation
Data processing pipeline for cardiogenic shock prediction using machine learning
Artificial intelligence model for prediction of cardiogenic shock in ACS
Summer school connecting medical students, clinicians, and data scientists for hands-on, project-based learning.
Practical training in scientific writing, peer review, and publishing in high-impact journals.
Short courses covering study design, statistics, and the core methods of modern clinical research in biomedicine.
Project: Center for Innovative Healthcare. Spolufinancované Európskou úniou. Vyjadrené názory a postoje sú názormi a vyhláseniami autora(-ov) a nemusia nevyhnutne odrážať názory a stanoviská Európskej únie alebo Európskej komisie. Európska únia ani orgán poskytujúci pomoc za ne nepreberajú žiadnu zodpovednosť. Informácie o pláne obnovy a odolnosti SR nájdete na www.planobnovy.sk

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We are proud to announce that our latest research has been published in EHJ-DH! 🎉 This publication marks a significant step forward. STOP SHOCK score is a simple ML-based tool available at first medical contact showing high performance for prediction of developing cardiogenic shock during hospitalization in acute coronary syndrome patients. 💓