Arseniy Trukhanov

This paper develops explainable machine learning models to classify glioma subtypes and predict survival using RNA-seq data, achieving high accuracy and transparency.

EpImAge combines epigenetic and immunological markers to predict biological age with high accuracy, showing sensitivity to multiple diseases.