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AI biomarker research
Trends
- 1AI-identified biomarker looks accurate but fails key test▼An AI-identified biomarker can look accurate and still fail its biggest test
A new report warns that a biomarker identified through artificial intelligence can appear accurate in its initial analysis yet still fail when put to its biggest test, typically validation in independent or clinical settings. The finding highlights a growing concern in medical research: AI-driven discoveries may reflect patterns in data rather than real, clinically useful signals, and researchers are being urged to apply stricter validation before trusting such results.