Article
Fairness-aware Supervised Hierarchical Contrastive Semantic Learning for Sexual Dimorphism Analysis
2026-01-28
Abstract excerpt
<h4>Motivation</h4> Sexual dimorphism is a fundamental biological determinant driving systematic differences in disease susceptibility, progression, and clinical outcomes. However, current AI-based genomic models often exhibit algorithmic bias and fail to capture these sex-specific mechanisms, creating a critical barrier to unbiased precision medicine. Ensuring fairness in the context of sexual dimorphism require...
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Identifiers and source
- Literature Corpus work
- 42e82143-0a11-5c62-9d4c-5c4c169c1812
- DOI
- 10.64898/2026.01.27.702125
