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Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction.
Interdiscip Sci
January 2025
School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. However, drug-drug interactions (DDIs) can sometimes lead to adverse reactions, potentially endangering lives. Therefore, developing efficient and accurate DDI prediction methods is crucial for elucidating drug mechanisms and preventing side effects.
View Article and Find Full Text PDFPudendal Neuralgia: A Review of the Current Literature.
Curr Pain Headache Rep
January 2025
Department of Anesthesia, Division of Pain Medicine, University of Virginia, Charlottesville, VA, USA.
Purpose Of Review: This paper aims to review pudendal neuralgia pathophysiology, risk factors, diagnosis, and treatment options.
Recent Findings: Conservative and pharmacologic options are first line treatments for the treatment of pudendal neuralgia. Interventional treatment such as, pudendal nerve blocks can be tried if first line treatments feel to provide adequate analgesia.
Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments.
J Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
View Article and Find Full Text PDFOptimal vocal therapy for respiratory muscle activation in patients with COPD: effects of loudness, pitch, and vowels.
Front Physiol
January 2025
Department of Rehabilitation Medicine, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Background: Vocal therapy, such as singing training, is an increasingly popular pulmonary rehabilitation program that has improved respiratory muscle status in patients with chronic obstructive pulmonary disease (COPD). However, variations in singing treatment protocols have led to inconsistent clinical outcomes.
Objective: This study aims to explore the content of vocalization training for patients with COPD by observing differences in respiratory muscle activation across different vocalization tasks.
Deltopectoral approach without subscapularis detachment for reverse shoulder arthroplasty. Technique and results of a safe and reproducible subscapularis-sparing approach.
JSES Rev Rep Tech
February 2025
Clinique Claude Bernard, Unité de Chirurgie Orthopédique, Metz, France.
Background: The importance of the subscapularis for reverse total shoulder arthroplasty has been demonstrated, especially for internal rotation and stability. In a deltopectoral approach, a detachment of the subscapularis is performed (tenotomy, tuberosity peeling, or osteotomy), but the tendon is not always repairable at the end. When it is repaired, healing is obtained in only 40%-76% of the cases, with potential consequences for the outcomes.
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