Condition: Heart Transplantation · Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna
The goal of this clinical trial is to demonstrate that a multiparametric approach, based on the integration of biomolecular, histological, imaging, and clinical information, along with the use of machine learning methods, can identify among heart transplant patients those at higher risk of rejection, infectious events, and chronic graft dysfunction. Patients have been and will be treated according to clinical practice, in accordance with the physician's judgment and the information provided in the Technical Data Sheet of each individual product used in concomitant therapies, if administered according to clinical practice. The diagnostic-therapeutic pathway of the patients will not be in any way influenced by the results of tissue tests performed for the purposes of the study
This description comes directly from the study's public registry record.
Luciano Potena, MD · 0512143725 · scompenso.trapiantocuore@aosp.bo.it
Always discuss trial participation with your own doctor first.
| Luciano | Bologna, Italy | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06774794