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EPICDIN - EPIGENETICA NELLE INDAGINI CARDIOVASCOLARI E DECESSI. APPROCCI IA GUIDATI, PROSPETTIVE DIAGNOSTICHE E INVESTIGATIVE PER LE MALATTIE CARDIACHE E LE MORTI IMPROVVISE INSPIEGABILI

Project
The EpiCDIn project forms part of an international collaboration between the University of Modena and Reggio Emilia and the University of Copenhagen, which has received funding of €70,000 from the Emilia-Romagna Region, earmarked for the feasibility phase currently underway and already approved by the Department. This phase involves conceptual, organisational and planning activities aimed at assessing the scientific, technological and economic sustainability of the project. The specific project aims to consolidate Emilia-Romagna as a leading scientific hub, seeking to attract Italian and foreign researchers and transfer research results with significant socio-economic impacts: advanced diagnostic tests, personalised cardiovascular prevention and the optimisation of post-mortem and clinical investigations, with benefits for citizens, the healthcare system and the judicial system. Collaboration with the Institute of Forensic Medicine and Cardiology in Copenhagen, a pioneer in the use of epigenetic methods in cardiac death, will be key to the development of integrated diagnostic strategies. A research team will be formed comprising forensic geneticists, forensic pathologists, cardiologists, biostatisticians and bioinformaticians, supplemented by PhD students and early-career researchers, with specialised expertise in molecular analysis, epidemiological screening and the development of predictive models based on artificial intelligence. The pilot study involves the selection of anonymised clinical and post-mortem samples, with an assessment of the most suitable biological matrices (blood, FFPE tissues, fresh tissues) and the identification of the most predictive epigenetic markers based on the literature and preliminary laboratory data, to be integrated into AI models. Methylation analysis methods such as microarrays, pyrosequencing and Nanopore will be compared, with an assessment of their sensitivity, robustness and reproducibility.
  • Overview
  • Skills

Overview

Contributor (12)

CECCHI Rossana   Scientific Manager  
BERGAMASCHI Sonia   Participant  
BORIANI Giuseppe   Participant  
FERRI Gianmarco   Participant  
GIANFREDA Denise   Participant  
Imberti Jacopo Francesco   Participant  
LAVENIA ANTONINO   Participant  
MANFREDINI Rossella   Participant  
Mei Davide Antonio   Participant  
SANTUNIONE Anna Laura   Participant  
SULLUTRONE GIOVANNI   Participant  
Vitolo Marco   Participant  

Leading department

Department of Biomedical, Metabolic and Neural Sciences   Principale  

Term type

ALTRI BANDI REGIONE EMILIA-ROMAGNA

Financier

REGIONE EMILIA ROMAGNA
Funding Organization

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Total Contribution (assigned) University (EUR)

70,000€

Date/time interval

December 30, 2025 - December 29, 2026

Project duration

12 months

Skills

Concepts (8)


LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence - (2024)

LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases - (2024)

LS7_9 - Public health and epidemiology - (2024)

Goal 3: Good health and well-being

Settore BIOS-10/A - Biologia cellulare e applicata

Settore IINF-05/A - Sistemi di elaborazione delle informazioni

Settore MEDS-07/B - Malattie dell'apparato cardiovascolare

Settore MEDS-25/A - Medicina legale
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