William E. Lotter

GENESIS predicts single-cell perturbation responses from experimental conditions, outperforming existing models and approaching experimental reproducibility.

This paper develops an AI model to estimate immune biomarkers from H&E images, showing it can predict prognostic outcomes as effectively as costly mIF assays.

gnomAD v4 (730,947 exomes) brings LOFTEE-2 loss-of-function annotation (0.90 precision, strict mode), missense-aware constraint, and LLM-mined literature evidence combined with constraint to rank disease genes.

The paper provides a pan-cancer spatial analysis of immune biomarkers in the tumor microenvironment using multiplex immunofluorescence data from 2,019 tumors across 14 cancer types.

This study shows that the primary visual cortex encodes head direction signals in freely behaving rats, supporting predictive coding theories.