Genetically Aligned Patient Representations Improve Hematological Diagnosis
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 tra
Record details
Published: 28 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare · Biotech
Retrieved: 14 July 2026
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ethics.ai (28 May 2026), “Genetically Aligned Patient Representations Improve Hematological Diagnosis,” evidence record 3506, https://ethics.ai/record/3506 (originally published by arXiv).
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