Publications by authors named "J Dean Cole"

Industrialization adversely affects the gut microbiome and predisposes individuals to chronic non-communicable diseases. We tested a microbiome restoration strategy comprising a diet that recapitulated key characteristics of non-industrialized dietary patterns (restore diet) and a bacterium rarely found in industrialized microbiomes (Limosilactobacillus reuteri) in a randomized controlled feeding trial in healthy Canadian adults. The restore diet, despite reducing gut microbiome diversity, enhanced the persistence of L.

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Acute digoxin poisoning is increasingly uncommon in emergency medicine. Furthermore, controversy exists regarding indications for antidotal digoxin immune fab in acute poisoning. In healthy adults, the fab prescribing information recommends administration based on "known consumption of fatal doses of digoxin: ≥10mg," while many emergency medicine textbooks suggest fab administration be driven by clinical features or potassium concentration.

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Purpose: Perfusion modeling presents significant opportunities for imaging biomarker development in breast cancer but has historically been held back by the need for data beyond the clinical standard of care (SoC) and uncertainty in the interpretability of results. We aimed to design a perfusion model applicable to breast cancer SoC dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) series with results stable to low temporal resolution imaging, comparable with published results using full-resolution DCE-MRI, and correlative with orthogonal imaging modalities indicative of biophysical markers.

Methods: Subsampled high-temporal-resolution DCE-MRI series were run through our perfusion model and resulting fits were compared for consistency.

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Introduction: Sodium nitrite is a potent oxidizer, which may precipitate rapidly lethal methemoglobinemia. Prompt diagnosis and treatment may salvage otherwise fatal cases. It is unclear if emergency departments are prepared for increasing cases.

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The detection of norm deviations is fundamental to clinical decision making and impacts our ability to diagnose and treat diseases effectively. Current normative modeling approaches rely on generic comparisons and quantify deviations in relation to the population average. However, generic models interpolate subtle nuances and risk the loss of critical information, thereby compromising effective personalization of health care strategies.

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