CORDIS Project
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The Predict-X-ACS project aims to improve care for Acute Coronary Syndrome by integrating various data sources into AI models. This approach seeks to enhance diagnosis and treatment personalization, ultimately reducing mortality and improving patient outcomes.
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, envi…
UNIVERSITA TA MALTA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Wolfsburg
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
India, Nagpur
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Arneja Heart and Multispeciality Hospital
India, Nagpur
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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