Amsterdam Center for Computational Cardiology

Advancing discoveries with cutting-edge research in cardiovascular health

Our dedicated team of data scientists, epidemiologists, and clinicians collaborate to bring about innovative advancements in computational cardiology, utilizing state-of-the-art techniques and technologies.

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expertiseA blend of expertise advancing cardiovascular care.

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Machine Learning

Enhancing cardiovascular care through predictive analytics, advanced imaging, and personalized treatment, improving early detection and patient outcomes.

Infrastructure

Develop and deploy IT infrastructure to standardize data and enable federated learning, enhancing data interoperability and supporting AI-driven decision-making in healthcare.

Natural Language Processing

Extract insights from clinical narratives to enhance cardiovascular diagnostics, treatment, risk prediction, and automate medical coding.

Clinically driven drug trials

Developing innovative trial designs using real-world data like EHRs to enhance efficiency, strengthen causal inference, and improve real-world applicability.

Genetically guided drug target identification

Use genetic methods to identify drug targets for cardiac diseases, contributing to GWAS and applying techniques like colocalization and Mendelian Randomization to uncover causal relationships.

Cardiovascular Epidemiology​

Apply cardiovascular epidemiology to uncover causal associations between CVDs, outcomes, and risk factors.

Image and Electro-cardiographic Analyses

Apply AI-based ECG and imaging analysis to better understand inherited cardiomyopathies and valvular heart disease.

Digital twins and Synthetic Data

Apply the digital twin concept to personalize CVD risk assessment using centralized health data.

Pioneering the future of cardiovascular health utilizing state-of-the-art techniques and technologies. 
leveraging multi-modal clinical data spanning information from imaging, genomics, electronic healthcare records, and clinical trials. 
leveraging multi-modal clinical data spanning information from imaging, genomics, electronic healthcare records, and clinical trials. 

projectsInnovative projects shaping the future of cardiovascular health

We are participating in groundbreaking initiatives to advance cardiovascular health through cutting-edge technologies and data-driven solutions. The projects focus on precision medicine, early disease detection, and the integration of artificial intelligence to transform cardiovascular health care. By combining interdisciplinary expertise and innovative methodologies, we aim to set new standards in cardiovascular research and patient care.

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AI4HF

Focuses on co-design, development, evaluation and exploitation of integrative and thrustworthy artificial intelligence solutions for personalized heart failure risk-assessment. The consortium is led by Amsterdam UMC.

CHECK@HOME

Introduces a national approach in the Netherlands for early detection of CV disease, kidney disease, and type 2 diabetes. Its goal is to reduce the morbidity and mortality of these conditions by 25% over the next decade

DataTools4Heart

Aims for the co-creation, development and demonstration of a comprehensive, federated, privacy-preserved cardiology data toolbox including standardized data ingestion and harmonization tools, multilingual natural language processing and federated machine learning and data synthesis methods.

Heart4Data

Aims to develop a sustainable infrastructure for cardiovascular registry-based research in the Netherlands. The infrastructure includes a framework/structure for the governance, and the ethical, legal, financial, technological and methodological factors.

HOVON 170 DLBCL

This is a national, multicenter, randomized controlled phase III trial designed to evaluate the efficacy and safety of dexrazoxane for the primary prevention of anthracycline-induced cardiac dysfunction in patients with non-Hodgkin lymphoma.

PROMPT-HF-AUMC

This is a nudging trial performed in the Amsterdam UMC designed to explore the effectiveness of subtle behavioral interventions, known as "nudges," in influencing people's or doctor’s decisions and actions without restricting their freedom of choice.