In Silico Trials

Keywords:

in-silico trials, virtual patients, virtual clinical trials, synthetic patient modeling, clinical trial simulation, trial design optimization, predictive modeling, ai in in-silico trials, data integration, computational pharmacology

Clinical Trial Simulation & Design Optimization

• Computational simulation of clinical trials covering protocol design, risk identification, and analysis of data from in vitro to human studies. Includes modeling trial scenarios and exploring design options.

Virtual Patients

• Virtual patient models for clinical trials, including diverse patient representations and trial outcome simulations. Synthetic datasets may support these models and study design in a controlled virtual environment.

Machine Learning in In-Silico Trials

• Machine learning techniques in in-silico trials, including virtual patient population generation, treatment-response prediction, and trial design. Combines data-driven, mechanistic, and simulation-based models to represent patient variability and drug effects.

Use Cases for In-Silico Trials

• Examples of in-silico trials applying AI to clinical or registry data to model patient responses. Uses virtual patients, mechanistic models, and simulations to explore trial scenarios, drug effects, and safety and efficacy outcomes.