This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
This study will test the hypothesis that a novel combination of three drugs (sorafenib, sonidegib, and irinotecan), in conjunction with individually optimized doses, can be safely administered and lead to improved clinical outcomes in patients with hepatocellular carcinoma compared to standard of care. The main objective of this study is to establish safe dose ranges for the coadministration of sorafenib, sonidegib, and irinotecan in patients with hepatocellular carcinoma. Furthermore, we will collect data to inform the application of an artificial intelligence/computational approach to individual dosing of combination chemotherapy. Individualization of dosing will be achieved by using Phenotypic Personalized Medicine (PPM) to maximize treatment efficacy in patients with hepatocellular carcinoma, while minimizing toxicity. Drug efficacy will be assessed by measuring plasma circulating tumor DNA (ctDNA). Toxicity will be assessed by quantitating organ injury and patient tolerability. Recommended dosing for future studies will be based on the totality of the data.
AD HOC Trial: Artificial Intelligence-Based Drug Dosing In Hepatocellular Carcinoma
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Florida
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.