Publications by authors named "A Y Goh"

Background: During the COVID-19 pandemic, genomic surveillance was crucial for monitoring virus spread and identifying variants. Effective surveillance helped understand transmission dynamics. Singapore had success in combating COVID-19 through its surveillance programmes.

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Haematological malignancies are being increasingly defined by gene rearrangements, which have traditionally been detected by karyotype, fluorescent in situ hybridisation (FISH) or reverse-transcriptase polymerase chain reaction (RT-PCR). However, these traditional methods may miss cryptic gene rearrangements and are limited by the number of gene rearrangements screened at any one time. A next-generation sequencing (NGS) RNA fusion panel is an evolving technology that can identify multiple fusion transcripts in a single molecular assay, even without prior knowledge of breakpoints or fusion partners.

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Purpose: Ureteral stents are commonly placed intraoperatively during radical cystectomy, though their efficacy in reducing complications is unproven. We compared clinical outcomes among patients undergoing robot-assisted radical cystectomy with intracorporeal ileal conduit (RARC-IC) with or without ureteral stents to determine if omission of ureteral stents affects postoperative complications.

Materials And Methods: All RARC-IC surgeries performed at our institution between November 2017 and June 2023 were reviewed.

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Purpose: This study examined the feasibility and acceptability of a three-session, psychological-based intervention to improve intimacy and sexuality outcomes among women with breast and gynaecologic cancer in Singapore.

Method: Patients from outpatient oncology clinics completed screeners for marital and sexual distress. Those who endorsed either marital or sexual distress were invited into the study, and were randomized to receive the intervention immediately or be waitlisted.

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Objectives: We aim to evaluate the accuracy of radiologists and radiology residents in the detection of paediatric appendicular fractures with and without the help of a commercially available fracture detection artificial intelligence (AI) solution in the hopes of showing potential clinical benefits in a general hospital setting.

Methods: This was a retrospective study involving three associate consultants (AC) and three senior residents (SR) in radiology, who acted as readers. One reader from each human group interpreted the radiographs with the aid of AI.

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