Publications by authors named "C T Ly"

The purpose of this study was to investigate how the COVID-19 pandemic's inaugural wave impacted the professional autonomy of family physicians in Canada. This study highlights how family physician's resilience enabled them to overcome the many challenges they faced to provide health services to patients and has enabled them to rebuild their sense of purpose and duty of care. Four themes were found to summarize physician experiences: (1) loss of clinical autonomy and control; (2) abandonment and neglect by the health system; (3) a fear of patients "falling through the cracks" and moral injury; and (4) building resilience to support duty of care in family practice.

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Article Synopsis
  • TDP-43 is an RNA binding protein that forms aggregates in the central nervous system and is notably present in certain neurodegenerative diseases and inclusion body myopathy, a type of muscle disease.
  • Researchers developed a mouse model that shows muscle weakness associated with TDP-43 accumulation, which indicates a prion-like spread of the protein possibly affecting muscle tissues.
  • Human muscle biopsies from patients with various conditions, especially inclusion body myositis (IBM), contain TDP-43 aggregate seeds, suggesting a unique pathogenic role for TDP-43 in muscle diseases that wasn't fully recognized before.
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Cancer remains a formidable global health challenge, demanding the exploration of innovative treatment modalities with minimized side effects. One promising avenue involves the synergistic integration of targeted photothermal/photodynamic therapy (PTT/PDT), utilizing specially designed functional nanomaterials for precise cancer diagnosis and treatment. This study introduces a composite biomaterial, anti-epidermal growth factor receptor-conjugated manganese core phthalocyanine bismuth (anti-EGFR-MPB), synthesized for precise cancer imaging and treatment.

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Background: Heterogeneous ventricular activation can provide the substrate for ventricular arrhythmias (VA), but its manifestation on the electrocardiogram (ECG) as a risk stratifier is not well-defined.

Objective: To characterize the spatiotemporal features of QRS peaks that best predict VA in patients with cardiomyopathy (CM) using machine learning (ML).

Methods: Prospectively enrolled CM patients with prophylactic defibrillators (n=95) underwent digital, high-resolution ECG recordings during intrinsic rhythm and ventricular pacing at 100 to 120 beats/min.

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Forensic investigation of DNA samples from multiple contributors has become commonplace. These complex analyses use statistical frameworks accounting for multiple levels of uncertainty in allelic contributions from different individuals, particularly for samples containing few molecules of DNA. These methods have been thoroughly tested along some axes of variation, but less attention has been paid to accuracy across human genetic variation.

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