#hematology News & Analysis

Genetically Aligned Patient Representations Improve Hematological Diagnosis

Researchers developed a framework that aligns single-cell white blood cell images with genetic data (karyotypes and mutations) to improve hematological cancer diagnosis. Using a two-stage training approach combining self-supervised vision learning and supervised contrastive alignment, the model outperforms existing histopathology foundation models and enables disease retrieval based on genetic alterations.