Benign Vulval Leiomyoma: Report of a Rare Case.

A vulval leiomyoma is an uncommon, benign mass often misdiagnosed as a Bartholin cyst. Its precise etiology is currently unknown, though it typically arises from the deep connective tissue within the labia majora. Clinically, it presents as a slowly developing perineal mass, with pain and distress being the primary symptoms.

Synergistic effect of piperine on curcumin in cisplatin-induced nephrotoxicity through DNA fragmentation and cytokines gene expressions.

Cisplatin (Cis) is an anticancer drug commonly used to treat solid tumors. However, because of its nephrotoxicity, its use is limited. Our goal was to evaluate the effects of curcumin (Cur) and piperine (Pip) administered separately versus combined on Cis-induced nephrotoxicity in rats.

Age and gender specific normative physical fitness values among school going children: A cross-sectional analytical study.

Objectives: To determine age- and gender-specific normative values for physical fitness among school-going children.

Methods: The cross-sectional, analytical study was conducted from September 2021 to May 2022 in Alipur, Pakistan, and comprised school-going children of either gender aged 10-17 years. Physical fitness was assessed using the Assessing Levels of Physical Activity health-related fitness test battery, morphological component, waist circumference, hand grip strength measurement of right and left hands, 4x10m shuttle run test for motor fitness assessment and 20min shuttle test for cardiorespiratory fitness assessment.

Weight Loss With Topiramate and Phentermine Combination Therapy in a Patient With Bardet-Biedl Syndrome.

There is limited data on the effect of antiobesity medications in individuals with Bardet-Biedl syndrome (BBS). Here, we present a case of an adult with BBS who experienced significant weight loss following treatment with a combination of topiramate and phentermine. A 31-year-old female with BBS, with homozygous pathogenic variant in the gene, presented with obesity, dyslipidemia, and obstructive sleep apnea.

Automatic Fracture Detection Convolutional Neural Network with Multiple Attention Blocks Using Multi-Region X-Ray Data.

Accurate detection of fractures in X-ray images is important to initiate appropriate medical treatment in time-in this study, an advanced combined attention CNN model with multiple attention mechanisms was developed to improve fracture detection by deeply representing features. Specifically, our model incorporates squeeze blocks and convolutional block attention module (CBAM) blocks to improve the model's ability to focus on relevant features in X-ray images. Using computed tomography X-ray images, this study assesses the diagnostic efficacy of the artificial intelligence (AI) model before and after optimization and compares its performance in detecting fractures or not.