Publications by authors named "D P Wolfe"
The field of Cardio-Obstetrics is focused on mitigating cardiovascular risk among pregnant and post-partum individuals. Due to the complexity of caring for pregnant people with acquired or congenital cardiac disease, patients with these conditions are increasingly managed in multidisciplinary Cardio-Obstetrics teams, which are now considered essential to optimize maternal care in high-risk patients. Cardio-Obstetrics teams are composed of multiple subspecialists and have at least 3 roles: (1) provide preconception counseling and risk stratification to patients with known cardiac disease, (2) organize prenatal and postpartum care for patients who develop or present with cardiac disease during pregnancy, and (3) plan for emergent care for patients whose pregnancy "unmasks" cardiac disease, whether acquired disease or an unknown ACHD.
View Article and Find Full Text PDFObjectives: To evaluate cardiometabolic disease (CMD) in outpatients with spinal cord injury/disease (SCI/D). The study aims were to (1) estimate the prevalence of CMD risk factors in a cohort of Canadian adults with SCI/D; (2) assess whether the frequency of CMD screening aligns with evidence-based guidelines; and (3) gain a preliminary understanding of the barriers to CMD screening and/or treatment within a rehabilitation program setting.
Design: Quality improvement initiative involving chart review extracting the presence of and frequency of screening for four CMD risk factors (obesity, hypertension, dyslipidemia, diabetes mellitus).
Introduction: Individuals with neurological conditions (e.g., stroke, spinal cord injury, multiple sclerosis) may experience challenges to their mobility.
View Article and Find Full Text PDFArticle Synopsis
- Defects in electronic devices are typically seen as negative, but this study shows they can be useful in new computing methods, especially in low-power and noise-resilient systems.
- The research focuses on using defects in two-dimensional semiconductors to improve a stochastic inference engine, which helps in making more accurate predictions even with noisy data.
- By exploring the behavior of point defects in WSe FETs, the study demonstrates that these defects can enhance the performance of neuromorphic computing systems in medical image analysis compared to traditional encoders.