Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.
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Full Title: Front Oncol
Abbreviation: Front Oncol
Country: Unknown
Publisher: Unknown
Language: N/A
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"Conflict of interest XF and HL were employed by Wuhan Metware Biotechnology Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."
"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Hebei Administration of Traditional Chinese Medicine (grant number 2023145), the Hebei Provincial Health Commission (Grant Number 20171005), and the National Famous Old Traditional Chinese Medicine Experts Inheritance Studio Construction Program of National Administration of TCM (grant number: [2022] No. 75)."
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Last Updated: Aug 05, 2025