{
  "id": 3506,
  "url": "https://arxiv.org/abs/2605.29980v1",
  "title": "Genetically Aligned Patient Representations Improve Hematological Diagnosis",
  "summary": "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",
  "authors": "Muhammed Furkan Dasdelen, Fatih Ozlugedik, Ilaria Looser, Rao Muhammad Umer, Christian Pohlkamp, Carsten Marr",
  "category": "research",
  "topics": "safety-alignment,healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-28T14:17:31.000Z",
  "fetched_at": "2026-07-14T16:30:18.855Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3506",
  "original_url": "https://arxiv.org/abs/2605.29980v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}