Trials / Not Yet Recruiting
Not Yet RecruitingNCT06774768
Use of Machine-learning Algorithms, Biomarkers and Measures of Quality of Life to Personalize Medical Management of Liver and Heart Transplant Recipients
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,000 (estimated)
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
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.
Detailed description
This study is structured in two phases: 1) a retrospective phase that aims to develop ML-based scores that can allow to predict at patient level the risk of infections, cardiovascular diseases, new onset malignancies and chronic graft dysfunction, and describing the trajectory of this risk over time; 2) a prospective phase in which we test the association of biomarkers, QoL and frailty assessments with the ML-scores applied prospectively in heart and liver transplant recipients.
Conditions
- Artificial Intelligence (AI)
- Hepatocellular Carcinoma (HCC)
- Heart Transplantation
- Liver Transplantation
- Machine Learning
- Major Cardiovascular Event
Timeline
- Start date
- 2025-01-30
- Primary completion
- 2029-12-31
- Completion
- 2029-12-31
- First posted
- 2025-01-14
- Last updated
- 2025-01-14
Locations
2 sites across 1 country: Italy
Source: ClinicalTrials.gov record NCT06774768. Inclusion in this directory is not an endorsement.