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Abstract 2443: Urinary pesticide biomarkers and liver disease risk in Thailand: A machine-learning-based risk-prediction model

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Year: 2026
Type: conference-abstract
Source: Cancer Research
DOI: 10.1158/1538-7445.am2026-2443
Authors: Daxeshkumar P. Patel, Christopher Loffredo, Majda Haznadar, Mohammed Khan, Amelia Parker, Benjarath Pupacdi, Siritida Rabibhadana, Panida Navasumrit, Nirush Lertprasertsuke, Anon Chotirosniramit, Chawalit Pairojkul, Vor Luvira, Ake Pugkhem, Wattana Sukeepaisarnjaroen, Teerapat Ungtrakul, Thaniya Sricharunrat, Kannika Phornphutkul, Frank J. Gonzalez, Anuradha Budhu, Chulabhorn Mahidol, Xin Wei Wang, Mathuros Ruchirawat, Curtis C. Harris
Institutions: National Institutes of Health, National Cancer Institute, Georgetown University, United States Food and Drug Administration, Center for Cancer Research, Chulabhorn Research Institute, Chiang Mai University, Khon Kaen University, Chulabhorn Royal Academy, Rajavej Chiang Mai Hospital
Language: English

Topic: Pesticide Exposure and Toxicity
Subfield: Plant Science
Field: Agricultural and Biological Sciences
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W7148689761
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