Reducing demographic bias in biomedical machine learning for cancer detection using cfDNA methylation.

Saved in:
Bibliographic Details
Title: Reducing demographic bias in biomedical machine learning for cancer detection using cfDNA methylation.
Authors: Li S; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA. shuoli@ucla.edu., Zeng W; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Li W; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Liu CC; EarlyDiagnostics Inc., Los Angeles, CA, 90095, USA., Zhou Y; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Ni X; EarlyDiagnostics Inc., Los Angeles, CA, 90095, USA., Stackpole ML; EarlyDiagnostics Inc., Los Angeles, CA, 90095, USA., Yeh AH; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Melehy A; Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Lu DS; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Raman SS; Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Hsu W; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Mishra L; Institute for Bioelectronic Medicine, Divisions of Gastroenterology and Hepatology, Department of Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.; Department of Surgery, George Washington University, Washington, DC, 20037, USA., Shetty K; Department of Gastroenterology and Hepatology, the University of Maryland, School of Medicine, Baltimore, MD, 21201, USA., Tran B; Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Yokomizo M; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Ahuja P; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Zhu Y; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Tseng HR; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Aberle DR; Department of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Agopian VG; Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Han SB; Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA., French SW; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA., Dubinett SM; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.; VA Greater Los Angeles Health Care System, Los Angeles, CA, 90073, USA., Zhou XJ; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA. XJZhou@mednet.ucla.edu.; Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, 90095, USA. XJZhou@mednet.ucla.edu.; Institute for Quantitative and Computational Biosciences, University of California at Los Angeles, Los Angeles, CA, 90095, USA. XJZhou@mednet.ucla.edu., Wong WH; Department of Statistics, Stanford University, Stanford, CA, 94305, USA. whwong@stanford.edu.; Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA. whwong@stanford.edu.
Source: Genome biology [Genome Biol] 2026 Feb 25; Vol. 27 (1). Date of Electronic Publication: 2026 Feb 25.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first