Publications by authors named "J S Mohamed"

Background: Despite advances made in targeted biomarker-based therapy for acute myeloid leukemia (AML) treatment, remission is often short and followed by relapse and acquired resistance. Functional precision medicine (FPM) efforts have been shown to improve therapy selection guidance by incorporating comprehensive biological data to tailor individual treatment. However, effectively managing complex biological data, while also ensuring rapid conversion of actionable insights into clinical utility remains challenging.

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  • Racism significantly contributes to health disparities among Aboriginal and Torres Strait Islander children, particularly affecting their mental health and sleep issues.
  • Analysis of data from the Speak Out Against Racism (SOAR) and the Longitudinal Study of Australian Children (LSAC) revealed that these children face higher rates of mental health (40.1% vs. 13.5%) and sleep problems (28.5% vs. 18.4%) compared to Anglo-European peers.
  • The study suggests that removing interpersonal racial discrimination could substantially decrease these health inequities, with potential reductions of up to 42.4% in mental health issues and 48.5% in sleep problems among Aboriginal and Torres Strait Islander children.
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Integrating renewable energy generation with the conventional grid supports reduces carbon emissions in the atmosphere. Despite technical advancements in protection strategies, critical issues concerning renewable integration in microgrid structures require standardized solutions. The essential aspects that need to be concentrated during securing the grids are rapid fault interruption, false tripping and blinding of protection.

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  • - The study investigates how effectively PET/MRI can predict treatment response in localized rectal cancer patients undergoing preoperative chemoradiotherapy (CRT), focusing on sensitivity and specificity of imaging parameters.
  • - Out of 31 recruited patients with rectal adenocarcinoma, 20 completed the study; results showed that 20% of patients were good responders to treatment, while 80% had a poor response based on histopathological assessments.
  • - Key imaging metrics like percent maximum thickness reduction and percent apparent diffusion coefficient (ADC) change demonstrated promising predictive values, suggesting their potential use in identifying good responders, highlighting the need for larger studies to validate these findings.
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