Exploring the relationship between trauma, mental health, and occupational performance in health science center students.

Introduction: Attending university marks a pivotal yet stressful phase in students' lives, characterized by significant adjustments to a new environment that can impact mental, emotional, and physical well-being. The journey through the acceptance and admissions process into university introduces substantial challenges, academic performance and changes to daily life. Such challenges and corresponding conditions can be intensified for students entering university with prior traumatic experiences.

International Validation of Echocardiographic AI Amyloid Detection Algorithm.

Background: Diagnosis of cardiac amyloidosis (CA) is often missed or delayed due to confusion with other causes of increased left ventricular wall thickness. Conventional transthoracic echocardiographic measurements like global longitudinal strain (GLS) has shown promise in distinguishing CA, but with limited specificity. We conducted a study to investigate the performance of a computer vision detection algorithm in across multiple international sites.

Detection of exon2-MED12 mutations in uterine leiomyomas from Syrian patients.

Uterine leiomyomas (uLMs) are the most prevalent benign tumors of the female reproductive system. MED12 is one of the mediator complex subunits that has been implicated in uLMs pathogenesis. Somatic mutations in exon2-MED12 have been found in ~ 70% of uLMs.

Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence.

Background: Breast cancer (BC) is a significant cause of morbidity and mortality in women. Although the important role of metabolism in the molecular pathogenesis of BC is known, there is still a need for robust metabolomic biomarkers and predictive models that will enable the detection and prognosis of BC. This study aims to identify targeted metabolomic biomarker candidates based on explainable artificial intelligence (XAI) for the specific detection of BC.

Efficacy of Scapular Functional and Cervical Isometric Exercises in the Management of Chronic Mechanical Neck Pain: A Randomized Comparative Trial.

The global rise in work-related musculoskeletal ailments has led to issues like neck discomfort, scapular muscle dysfunction, reduced neck mobility, and functional limitations. This study aimed to evaluate the effectiveness of scapular functional exercises (SFE) and cervical isometric exercises (CIE) on pain, cervical range of motion (CROM), and functional limitations in individuals with chronic mechanical neck pain (CMNP). A two-arm, parallel group pretest-post-test randomized comparative trial was conducted.