Publications by authors named "R F Boyer"

Female carriers of a Duchenne muscular dystrophy (DMD) gene mutation manifest exercise intolerance and metabolic anomalies that may be exacerbated following menopause due to the loss of estrogen, a known regulator of skeletal muscle function and metabolism. Here, we studied the impact of estrogen depletion (via ovariectomy) on exercise tolerance and muscle mitochondrial metabolism in female mdx mice and the potential of estrogen replacement therapy (using estradiol) to protect against functional and metabolic perturbations. We also investigated the effect of estrogen depletion, and replacement, on the skeletal muscle proteome through an untargeted proteomic approach with TMT-labelling.

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Background: Major surgery on patients with anemia has demonstrated an increased risk of perioperative blood transfusions and postoperative morbidity and mortality. Recent studies have shown that integrating preoperative anemia treatment as a component of perioperative blood management may reduce blood product utilization and improve outcomes in both cardiac and noncardiac surgery. However, outpatient management of anemia falls outside of daily practice for most anesthesiologists and is probably weakly understood.

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Article Synopsis
  • Electroencephalography (EEG) is a method used to study human behavior by monitoring brain activity during various tasks, while machine learning (ML) helps recognize these activities.
  • This study aimed to see how well an EEG-based ML model could categorize daily activities like resting, walking, and reading, and to use explainable AI techniques to understand which EEG features were most important in these classifications.
  • The research involved 75 healthy participants and found that ML models like Random Forest and Gradient Boosting performed excellently in differentiating activities, with clear correlations found between machine learning results and EEG spectral data, suggesting potential benefits for healthcare and rehabilitation applications.
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