Tesfaye Mersha Baye

This paper introduces FairHICON, a fairness-aware supervised hierarchical contrastive learning method that identifies sex-specific and common genomic drivers, improving predictive performance and reducing sex-based performance gaps in cancer and asthma datasets.

PIMO improves multi-omics integration by modeling pathway-based interactions, enhancing survival analysis and interpretability in cancer datasets.

The paper presents a genetic resource of 15,684 individuals of African ancestry, demonstrating its utility in replicating and discovering disease associations.

The paper identifies 8 new sex-specific transcriptional pathways in acute myocardial infarction using sex-specific differential gene expression analysis, showing significant differences in pathway composition between males and females.

The paper examines how ancestry-specific polygenic risk scores interact with diet and physical activity to influence ASCVD risk in European Americans and African Americans.

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.