Publications by authors named "S S Yee"

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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Introduction: Skin and soft tissue infections (SSTIs) are common and contribute significantly to morbidity and healthcare costs in emergency departments (EDs). The rise of antimicrobial resistance, particularly due to community-acquired methicillin-resistant Staphylococcus aureus (MRSA), complicates treatment decisions. Objective physical examination findings suggesting need for empiric MRSA coverage are sometimes ignored.

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Purpose: It is uncertain if quality and barriers of sleep differs based on the location of a patient in the hospital. Our aim was to compare the patient reported sleep quality (QoS) in non-mechanically ventilated patients in ICU and wards, and identify the barriers of sleep in ICU and in wards.

Methods: The survey assessed the QoS at three stages including the day immediately prior to hospital admission, after their last night spent in the ICU prior to discharge, and the first night in wards.

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Oral squamous cell carcinoma (OSCC) is known to be driven by multiple intricated receptor tyrosine kinases (RTKs) including EGFR, PI3K/AKT and MAPK signaling pathways. However, whilst targeting EGFR with cetuximab has been approved for the treatment of OSCC, other single-agent inhibitors of the RTKs have shown modest effects in improving survival. From the genome-wide CRISPR/Cas9 screen on 21 OSCC cell lines, we have identified among the top essential genes in OSCC.

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Article Synopsis
  • - The study focuses on identifying resistance to a virulent race 1 strain of a bacterium causing bacterial speck disease in tomatoes, using a wild tomato variety known as LA1589 for screening.
  • - Researchers discovered that LA1589 supports less bacterial growth and identified three genomic regions linked to resistance through analysis of Inbred Backcross Lines (IBLs) derived from a susceptible cultivar.
  • - The findings include mapping three Quantitative Trait Loci (QTL) and five candidate genes in LA1589, which can be used in molecular marker-assisted breeding to enhance tomato resistance against bacterial speck disease.
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