Publications by authors named "L C Teoh"

Objectives: To identify evidence and guidelines relating to the use of antibiotics in the management of odontogenic facial swellings in children and adolescents.

Data: Articles relating to odontogenic facial swellings in children and adolescents aged 0-16 years were included. Articles in which paediatric data could not be differentiated from adult data or where the age of participants were unknown were excluded.

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Background: Antimicrobial resistance is a significant threat to global health. Antimicrobial stewardship is reducing inappropriate antimicrobial prescribing to counter it. Dentists prescribe ~10% of all antibiotics worldwide, yet up to 90% of antibiotic prescriptions by dentists are inappropriate.

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Rapid diagnosis of human T-cell lymphotropic virus (HTLV) type-I and -II infections are essential for timely and cost-effective disease interventions. MP Diagnostics ASSURE HTLV-I/II Rapid Test was developed for the rapid detection of anti-HTLV-I/II antibodies in patients' serum, plasma, and whole blood specimens. ASSURE HTLV-I/II Rapid Test employed MP Biomedicals' proprietary HTLV-I/II Trifusion recombinant antigen conjugated with gold nanoparticles and HTLV-I / HTLV-II recombinant antigens immobilized on the nitrocellulose membrane to detect total HTLV-I and HTLV-II antibodies.

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Article Synopsis
  • - This study analyzed data from 7,478 Malaysian women diagnosed with breast cancer over a 15-year period to track trends in age, tumor characteristics, and treatment approaches.
  • - Findings indicated an increase in the number of older patients and a slight rise in early-stage diagnoses, but more importantly, there was a notable improvement in tumor size, differentiation, and treatment effectiveness, especially for HER2-overexpressed tumors.
  • - Despite these advancements in survival rates, the study highlights the need for earlier detection methods and better access to effective treatments for breast cancer patients in Malaysia.
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Article Synopsis
  • Triple-negative breast cancers (TNBCs) are challenging to treat, but some may respond to PARP inhibitors based on their genetic features, even if they don't carry BRCA mutations.
  • Researchers analyzed genomic data from 129 TNBC samples in Malaysia, creating a machine learning tool to identify homologous recombination deficiency (HRD) in these cancers.
  • The classifier showed high accuracy in detecting HRD features, which could help identify TNBC patients who might benefit from specific treatments like PARP inhibitors or platinum-based chemotherapy.
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