2 papers
cs.CY2026
Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores
Ralf Beuthan, Megan Coffee, Heejin Kim +13
The polygenic risk scores (PRS) have emerged as an important methodology for quantifying genetic predisposition to complex traits and clinical disease. Significant progress has bee…
cs.CV2026
MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images
Aqsa Yousaf, Sint Sint Win, Megan Coffee +1
Parasitic infections remain a pressing global health challenge, particularly in low-resource settings where diagnosis still depends on labor-intensive manual inspection of blood sm…