Precision digital animal models for preclinical research and drug discovery. Replace live animal testing with AI-powered, genetically-engineered in silico models — enhanced by machine learning and your own experimental data.
From genetic engineering to ML-enhanced drug response prediction — all in one unified research environment.
14 species, 50+ strains, CRISPR genetic engineering, organ-on-chip toxicity profiling, and DART analysis with translational scoring.
Interactive browser of 40+ machine learning and deep learning algorithms organized by category, task type, and complexity.
Upload your own CSV/Excel experimental data, map columns, select an ML algorithm, and train a custom model to enhance DART predictions.
Everything you need for AI-powered preclinical research, from genetic engineering to ML-enhanced drug discovery.
Knockout, knockin, and point mutations across 12+ disease-relevant genes per species. Predict phenotypic consequences instantly.
6-organ toxicity profiling (liver, heart, kidney, brain, lung, gut) with real-time biomarker monitoring and dose-response curves.
40+ algorithms in an interactive Periodic Table. Select any model to enhance DART predictions with your own experimental data.
Upload CSV/Excel experimental data, map columns, select an ML algorithm, and train a custom model in minutes.
8 disease areas per species with 28-day biomarker timelines, translational scoring, and FDA Modernization Act 2.0 compliance.
AI-powered human predictability scores with IC₅₀/EC₅₀/LD₅₀ pharmacokinetics and therapeutic index calculations.
InSilico Models is built on the 3Rs ethical framework for animal research. Our DART platform enables complete replacement of animal models with validated digital equivalents, reduction of animal numbers through predictive modeling, and refinement of experimental protocols using AI-guided optimization.
Sign in to save DART sessions, track experiments, and upload your own data for model training.