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David Y. Zhang

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Open access Sep 2026

ARCHER-LD: Rapid Long-Range Linkage Disequilibrium Calculations at Biobank Scale using GPU Acceleration

Linkage disequilibrium (LD) information from one’s own dataset is considered optimal for downstream analyses such as statistical fine-mapping. However, the computational complexity ( computations for N variants) lead most studies to use external reference panels, such as from 1000 Genomes. To capture LD across all vari...

Rachit Kumar, Pankhuri Singhal, David Y. Zhang et al. · 0 citations
Open access Aug 2026

Machine learning for population-level risk prediction of future cholangiocarcinoma

It is shown that ML models integrating biliary-disease associated health records and Gamma glutamyltransferase can stratify risk of future CCA, and demonstrates the potential of data-driven models in personalised screening for hepatobiliary cancer.

F. van Haag, J. Clusmann, Paul-Henry Koop et al. · 0 citations

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