AD HOC Trial: Artificial Intelligence-Based Drug Dosing In Hepatocellular Carcinoma

Summary

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.

Timeline

Start

2024-12-02

Primary completion

2027-04

Completion

2027-04

Drugs

Indications