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Spatial metabolomics combined with machine learning in colon cancer diagnosis research 被引量:1

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摘要 Colon cancer is one of the malignant tumors with high morbidity and mortality worldwide[1],and its early diagnosis is crucial for improving patient survival.However,due to the lack of obvious early symptoms of colon cancer,many patients are in the middle to late stage when diagnosed and miss the best time for treatment.Therefore,developing an efficient and accurate diagnostic method for colon cancer is of great clinical significance and scientific value.Currently,the current colon cancer biomarkers carcinoembryonic antigen and carbohydrate antigen 19-9[2]have low sensitivity and specificity,the emerging markers circulating tumor DNA(ctDNA)and miRNA face high cost and standardization challenges,and the existing methods lack spatial resolution,prompting the incorporation of spatial metabolomics technologies to enhance diagnostic capabilities.
出处 《Journal of Pharmaceutical Analysis》 2025年第8期1937-1938,共2页 药物分析学报(英文版)
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