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AI-Guided Functional Genomics: From CRISPR Screens to Causal Target Commitment
• Examine how AI analyzes large-scale CRISPR and Perturb-seq screens to distinguish causal drivers from correlative signals.
• Using AI-based modeling to infer causal targets and target combinations with translational relevance
• Explore how combinatorial perturbation modelling uncovers context-specific dependencies and synthetic lethal interactions.
• Assess how intervention-driven evidence improves target prioritization and increases confidence before advancing into chemistry.
