Computation Prediction of Drug Response Based on Omics Data

Status Enrolling by invitation

Clinical Trial Summary

The goal of this observational study is to assess the performance of computational medicine technology in predicting patients response to anticancer drugs based on omics data.The main question it aims to answer is test consistency between the computing drug response and the response of real-world clinical trials. Participants will take part in silico.

Clinical Trial Description

A companion trial in silico was planned to compare head-to-head with a real clinical study of anti-tumor registered new drugs to verify the consistency between the efficacy prediction results of virtual clinical studies and the efficacy results of traditional clinical trials. Subjects simultaneously entered real world clinical trials and virtual clinical trials built by computer modeling and artificial intelligence technology. The results of traditional clinical trials were compared with those of virtual clinical trials to calculate the consistency of virtual clinical trials. By predicting the population with consistent efficacy, locking the response population to new drugs, using the innovative technology of computational medicine, grasping the omics characteristics of the response population, and using this as a starting point to determine the target population of clinical trials, so as to determine new screening conditions, design new clinical trials, accurately match the effective population, and revolutionary change the efficiency of clinical trials, thereby shortening the process and cost of clinical trial development. ;

Study Design

Related Conditions & MeSH terms

Breast Cancer

Clinical Trial Details

NCT number	NCT05833802
Study type	Observational
Source	Peking University Cancer Hospital & Institute
Contact
Status	Enrolling by invitation
Phase
Start date	February 15, 2023
Completion date	September 15, 2024

View Details

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