Keiko Imamura

This paper presents a novel monkey model with impaired DISC1 gene to study adolescent prodromal phenotypes of psychiatric disorders, finding altered social behavior and disrupted brain connectivity.

This paper introduces ChemGLaM, a chemical genomics language model for reliable and explainable compound-protein interaction predictions, achieving state-of-the-art performance and enabling drug/target exploration for ALS.

The paper identifies non-linear gene sets from blood cells to classify ALS with high accuracy using machine learning and validates findings in lab samples and iPSC-derived motor neurons.