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

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

Trial statusNot yet recruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age18+

SponsorIRCCS Azienda Ospedaliero-Universitaria di Bologna

About this trial

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.

Eligibility criteria

Qualifiers

None

Disqualifiers

None

Trial design

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Sponsors and collaborators

IRCCS Azienda Ospedaliero-Universitaria di Bologna

Lead sponsor

Source ClinicalTrials.gov