Integrating multi-omics and large-scale clinical data to quantify
disease mechanisms through target prioritization, enhancing early decision-making with data.
Covering design spaces beyond traditional approaches,
proposing diverse modality candidates and precisely optimizing performance.
Closely linking experimental data with AI analysis to interpret
drug properties, structure, and patient response, increasing confidence for the next step.
Precisely analyzing EMR and clinical data to convert observed patient responses
into research hypotheses, providing new mechanistic insights.
