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Classifies human genomic variants as benign, pathogenic, or uncertain significance using a fine-tuned transformer trained on ClinVar. Implements ACMG/AMP criteria programmatically.

Detects statistical early warning signals of approaching climate tipping points in time-series data (temperature, ice extent, vegetation indices) using resilience indicator methods.

Applies difference-in-differences and synthetic control methods to evaluate natural experiments in economic policy. Produces causal effect estimates with uncertainty quantification.

Screens multi-drug combinations for adverse interactions using a graph neural network trained on pharmacovigilance data. Returns severity scores and mechanistic explanations.