AI RESEARCH

Genetically Aligned Patient Representations Improve Hematological Diagnosis

arXiv CS.AI

ArXi:2605.29980v1 Announce Type: cross Multimodal alignment of histopathology encoders with transcriptomic and genomic data has been shown to significantly improve performance in downstream diagnostic tasks. Hematological cytology is unique in that visual single-cell evaluation is often paired with cytogenetics and molecular genetics for blood cancer diagnosis. In this study, we present a framework to align single white blood cell images with chromosomal aberrations (karyotype) and somatic mutations from targeted gene panels. Our.