Publications by authors named "Y C Liew"

Article Synopsis
  • Neointimal coverage and stent apposition are critical for improving percutaneous coronary interventions (PCI), but current algorithms struggle with automating the analysis of diverse stent types and preselecting necessary segments.
  • This study introduces TriVOCTNet, a multi-task deep learning model designed to automate the classification, lumen segmentation, and stent strut segmentation in IVOCT images, all within one efficient network.
  • TriVOCTNet demonstrated impressive accuracy with high classification rates and precise segmentation outputs, indicating its potential for enhancing clinical practices in PCI procedures.
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is a multidrug-resistant bacterium that has emerged as a significant nosocomial pathogen globally and renowned for its ability to acquire antimicrobial resistance (AMR) genes. However, understanding of its resistance mechanisms to certain drug classes remains limited. This study focused on four bacterial strains (AB863, AB889, AB930, and AB960) exhibiting carbapenem resistance.

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Background Calcific uremic arteriolopathy (CUA) is a rare but debilitating disease affecting patients with kidney disease. Reported risk factors of CUA in the literature include female sex, obesity, diabetes mellitus, and vitamin K antagonists' (VKAs) usage. CUA prevalence in Malaysia is unknown and has not been reported before.

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Towards precise genome editing, base editors have been developed by fusing catalytically compromised Cas9 with deaminase components, mediating C-to-T (cytosine base editors) or A-to-G (adenine base editors) transition. We developed a set of vectors consisting of a 5'-NG-3' PAM-recognising variant of SpCas9 with adenosine deaminases, TadA7.10 or TadA8e.

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