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RMD Open|July 9, 2025
Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk predictionNicholas Pudjihartono, Daniel Ho, Justin Martin O'SullivanBritish Journal of Cancer|October 4, 2024
Melanoma-specific mutation hotspots in distal, non-coding, promoter-interacting regions implicate novel candidate driver genesMichael Pudjihartono, Nicholas Pudjihartono, Justin M O'Sullivan, et al.Frontiers in Bioinformatics|October 28, 2022
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk PredictionNicholas Pudjihartono, Tayaza Fadason, Andreas W Kempa-Liehr, et al.Advances in Nutrition (Bethesda, Md.)|May 8, 2026
Dietary and Nutritional Factors in Systemic Lupus Erythematosus Pathophysiology: A Scoping Review of the Evidence from In-Vitro, In-Vivo and Human StudiesJustin N Jaya, Michael Pudjihartono, Nicholas Pudjihartono, et al.The FEBS Journal|October 30, 2024
Structural and biophysical characterisation of ubiquitin variants that inhibit the ubiquitin conjugating enzyme Ube2d2Jeffery M R B McAlpine, Jingyi Zhu, Nicholas Pudjihartono, et al.Pageof 1