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Label-Free Machine Learning Detects A Multi-Cancer Signal In A Noninvasive Urine And Plasma Metabolite Panel: A Case–Control Study

Year: 2026

Type: preprint

Study design: Observational Study

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.7673728

Authors: Daxesh P. Patel, Seyon Chung, Mohammed A. Khan, Leila Toulabi, Takeshi Tada, Majda Haznadar, Ashlie Santaliz Casiano, Huaitian Liu, Tanvi S. Patel, Burchelle Blackman, Rolf E. Swenson, Kevin Camphausen, Sharon Pine, Christopher A. Loffredo, Frank J. Gonzalez, Curtis Harris

Institutions: National Institutes of Health, National Cancer Institute, Center for Cancer Research, Bowie State University, National Heart, Lung, and Blood Institute, University of Colorado Anschutz, Georgetown University Medical Center

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute

OpenAlex ID: W7221758449

Cites: 5

Cited by:

Related to: 10