CHIC: A machine learning framework for inferring the presence of high-risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants

Hemasphere. 2025 Jul 3;9(7):e70169. doi: 10.1002/hem3.70169. eCollection 2025 Jul.

William G Dunn^{1

2

3}, Isabella Withnell⁴, Muxin Gu^{1

2}, Pedro Quiros⁵, Sruthi Cheloor Kovilakam^{1

2}, Ludovica Marando⁶, Sean Wen⁷, Margarete A Fabre^{2

3

7}, Irina Mohorianu¹, Dragana Vuckovic⁸, George S Vassiliou^{1

2

3}

¹ Cambridge Stem Cell Institute University of Cambridge Cambridge UK.
² Department of Haematology University of Cambridge Cambridge UK.
³ Department of Haematology Cambridge University Hospitals NHS Trust Cambridge UK.
⁴ Division of Biosciences University College London London UK.
⁵ Department of Biochemistry and Molecular Biology, Instituto Universitario de Oncología (IUOPA) Universidad de Oviedo Oviedo Spain.
⁶ Department of Hematology Mayo Clinic Rochester Michigan USA.
⁷ Centre for Genomics Research, Discovery Sciences Biopharmaceuticals R&D, AstraZeneca Cambridge UK.
⁸ Department of Epidemiology and Biostatistics School of Public Health, Imperial College London, Faculty of Medicine London UK.

No abstract available

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