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Use of Machine-learning Algorithms, Biomarkers and Measures of Quality of Life to Personalize Medical Management of Liver and Heart Transplant Recipients

NCT06774768 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2025-01-14

No results posted yet for this study

Summary

This is an observational, low risk tissue based, non-pharmacological, retrospective-prospective study for adults heart and liver transplant patients, related to IRCCS Azienda Ospedaliero-Universitaria di Bologna (IRCCS AOUBO).

This clinical study is part of the national multicentric project DARE. The project has the wide overarching aim to develop digital solutions for personalized healthcare.

Conditions

  • Artificial Intelligence (AI)
  • Hepatocellular Carcinoma (HCC)
  • Heart Transplantation
  • Liver Transplantation
  • Machine Learning
  • Major Cardiovascular Event

Sponsors & Collaborators

  • IRCCS Azienda Ospedaliero-Universitaria di Bologna

    lead OTHER

Principal Investigators

  • Luciano Potena, MD · IRCCS Azienda Ospedaliero-Universitaria di Bologna

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-30
Primary Completion
2029-12-31
Completion
2029-12-31

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06774768 on ClinicalTrials.gov