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Armoundas AA, Silva JNA, Baykaner T, et al. HRS scientific statement on artificial intelligence integration framework into clinical electrophysiology workflows. Heart rhythm. 2026. doi:10.1016/j.hrthm.2026.04.013

Deutsch EW, Kok LW, Mudge JM, et al. Expanding the human proteome with microproteins and peptideins. Nature. 2026. doi:10.1038/s41586-026-10459-x

Jeong D, Danielli SG, Maaß KK, et al. Author Correction: Multidimensional profiling of heterogeneity in supratentorial ependymomas. Nature. 2026. doi:10.1038/s41586-026-10602-8

Jurgens JA, Bueckle A, Vora J, et al. The Common Fund Data Ecosystem (CFDE). bioRxiv : the preprint server for biology. 2026. doi:10.64898/2026.04.10.717672

Qi M, Dave PS, Francis N, et al. Sensitive detection of somatic mutations in GC-rich cancer gene promoters. NAR cancer. 2026;8(2):zcag011. doi:10.1093/narcan/zcag011

Whelton SP, Yao J, Clish C, et al. Association of Polygenic Risk Scores With Aortic Valve Calcium: The Multi-Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 2026:e040064. doi:10.1161/JAHA.124.040064

Wang Z, Wang Y, Peters BA, et al. Multi-omics analysis of the gut microbiome and carotid artery atherosclerosis in men with and without HIV. EBioMedicine. 2026;127:106281. doi:10.1016/j.ebiom.2026.106281

Haydarlou P, Kramarenko DR, Enzan N, et al. Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries. Nature communications. 2026. doi:10.1038/s41467-026-72708-x

Rojas-Hidalgo A, Arias-Carrasco R, Silva JK, et al. The Single Cell Notebooks for inclusive and accessible training in single-cell and spatial omics. Nature genetics. 2026. doi:10.1038/s41588-026-02584-0

Hu J, Qin Q, Li H, Zhou Y. FuFiHLA: A tool for Full-Field HLA typing from long-read data. Bioinformatics (Oxford, England). 2026. doi:10.1093/bioinformatics/btag231