Target Identification & Validation: Use Multi-modal AI to integrate genomics, spatial transcriptomics, and literature to identify novel disease drivers.
Generative Molecular Design: Master Diffusion models and Graph Neural Networks (GNNs) to "design" rather than "screen" for novel, drug-like small molecules.
High-Throughput Virtual Screening: Implement AI-enhanced molecular docking (e.g., OpenFold3, AlphaFold3, or Boltz-1) to predict protein-ligand interactions with near-experimental precision.
