To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
NSCLC remains the leading cause of cancer-related mortality worldwide, with EGFR mutations being a critical driver in approximately 10-15% of lung adenocarcinomas in Western populations, and up to 40% ...
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