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Medical researchers trained an artificial intelligence system to detect DNA repair flaws directly from routine tissue slides, reaching a 91% accuracy rate compared to lab tests. The model identifies microscopic physical changes in cell arrangements that human examiners typically miss. This approach could reduce the need for costly specialized genetic testing.