Project description
AI for personalised heart care
Acute coronary syndrome (ACS) is a sudden blockage of blood flow to the heart. As a leading cause of death and disability worldwide, the medical community is under pressure to improve diagnosis and treatment. Supported by the Marie Skłodowska-Curie Actions programme, the PREDICT-X-ACS project aims to develop transformer-based, explainable AI models that provide clinicians with actionable insights. These models support personalised care, improving outcomes while addressing the limitations of traditional diagnostic tools. The overall goal is to advance precision medicine and reduce ACS-related mortality. The project will also drive innovation in healthcare technology aligned with global health and industry goals.
Objective
The Predict-X-ACS project, led by Dr. Deepa Joshi under the supervision of Prof. Lalit Garg at the University of Malta (UoM), aims to address the global burden of Acute Coronary Syndrome (ACS), a major contributor to cardiovascular disease (CVD). ACS, which results from the sudden reduction or blockage of blood flow to the heart, remains a leading cause of morbidity and mortality worldwide. This research integrates diverse data sources, including medical imaging, genomics, clinical records, environmental factors, and biomarkers, into a transformer-based, AI-powered precision medicine approach to enhance ACS care. The primary objective of the project is to develop scalable, explainable AI models that improve the diagnosis, treatment, and personalization of ACS care by overcoming the limitations of single-modal, non-transparent diagnostic tools. Through this multi-modal methodology, clinicians will be equipped with actionable insights, facilitating more accurate, individualized treatment plans and better patient outcomes. The project aligns directly with Sustainable Development Goal 3 (Good Health and Well-being) by contributing to the reduction of ACS-related mortality and improving patient care through the use of advanced medical technology. It also supports Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) by driving innovation in healthcare technology and promoting the application of cutting-edge AI methods in clinical practice. Continuous clinical validation and real-time feedback mechanisms ensure that the developed AI models are robust, adaptable, and ready for broad clinical implementation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
MSD 2080 MSIDA
Malta
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.