The concept of virtual clinical trials: A game changer in radiation oncology research?
Abstract
Virtual clinical trials use computer simulations (e.g. radiation physics and radiobiology) and/or real-world data (e.g. patient anatomy and tissue characteristics) to model radiation oncology treatments, addressing limitations of traditional clinical trials. They aim to enhance subsequent trial design, improve patient selection, and reduce risk of unsuccessful trials. AI promises to boost their precision, enabling faster, more efficient research that keeps pace with evolving technologies and better reflects real-world clinical practice. Note: Many different terms are used in the literature to describe computer-simulated research approaches, including virtual clinical trials, simulated trials, and in silico trials. In this paper, we have chosen to use the term virtual clinical trials for consistency and clarity.
Read the paper
Related studies
- Quantum dots: synthesis, bioapplications, and toxicity
- A Guide to In Silico Drug Design
- Quantum Computing for Healthcare: A Review
- Automated in Silico Design of Homogeneous Catalysts
- Identification of Novel 3-Hydroxy-pyran-4-One Derivatives as Potent HIV-1 Integrase Inhibitors Using in silico Structure-Based Combinatorial Library Design Approach
- In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.