Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
Gastric cancer (GC) represents a significant burden of cancer-related mortality worldwide, underscoring an urgent need for the development of early detection strategies and precise postoperative interventions. However, the identification of non-invasive biomarkers for early diagnosis and patient risk stratification remains underexplored. Here, we conduct a targeted metabolomics analysis of 702 plasma samples from multi-center participants to elucidate the GC metabolic reprogramming. Our machine
Record details
Published: 23 February 2024
Source: OpenAlex
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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ethics.ai (23 February 2024), “Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer,” evidence record 9571, https://ethics.ai/record/9571 (originally published by OpenAlex).
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