Gemini Digital Twins are computational representations of human disease that capture genetic and molecular interactions that causally drive clinical and physiological outcomes.
Deriving insights from human datasets; by starting with human multiomic and clinical data, Aitia eliminates the need to use insufficient and often irrelevant model systems (e.g., cell lines, animal models) that are poor predictors of human biology and clinical outcomes.
Identifying targets causally linked to clinical outcomes decades before anyone else; Aitia runs counter factual “in silico” experiments testing hypotheses across millions of patient-data derived Digital Twins
Discovering targets at a speed and scale that is not possible through high-throughput experiments or other platforms; Aitia evaluates the impact of trillions of parameters on clinical outcomes in each of trillions of simulation experiments
Simulating drug candidates and clinical trials to discover biomarkers of response / non-response and optimal combo therapies early in development.
