110 citations
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February 2024 in “Journal of Chemical Information and Modeling” This study describes the PandaOmics platform, which uses AI and bioinformatics to identify new therapeutic targets and biomarkers for various diseases, demonstrating validation in laboratory and animal studies.
December 2022 in “Research Square (Research Square)” In this study, the researchers developed a quantum algorithm, QuantAnts machines, which identified complexes of CD9, CD34, and CD74 as potential targets for certain cancers involving the RAS pathway.
November 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” This study developed a new method using ultrahigh-power sonication and mass spectrometry to improve protein extraction from hair shafts, identifying 239 differentially expressed proteins related to fetal growth restriction, which were validated as potential noninvasive biomarkers for perinatal diagnostics.
November 2025 in “Analytical Chemistry” This study developed an ultrahigh-power sonicator to improve protein extraction from hair shafts, followed by advanced proteomic analysis, identifying 239 differentially expressed proteins in fetal growth restriction cases compared to healthy controls, which were validated as potential biomarkers for perinatal diagnostics.
January 2025 in “International Journal of Genomics” This study identified three hub genes—BMP4, POSTN, and WNT5A—that are closely associated with keloid fibroblast hyperplasia, suggesting they may serve as potential biomarkers for inhibiting this condition. Further research is necessary to fully understand their roles in keloid development.
