Association of Adipokines and CIMT in Metabolic Syndrome in Western Uttar Pradesh Population: a Cross-Sectional Study.

Background: A cluster of metabolic indicators responsible to elevate the risk of high blood sugar, heart diseases along with stroke is called metabolic syndrome (MetS). Adipokines play critical roles in the formation and progression of these clusters of diseases. Adiponectin enhances fatty acid oxidation, prevents foam cell formation and improves lipid metabolism.

"Thai Noodle": A Novel Technique for Post Radiation Choanal Stenosis.

The aim of this retrospective study is to describe a novel endoscopic technique to treat post radiation choanal stenosis. We describe a novel "Thai noodle" silastic splint, which is tailor-made, increases compliance, reduces pain and recurrence. A retrospective study over a period of 2 years was done to evaluate the results of our "Thai noodle" technique, which included 4 patients who had previously been treated with conventional endoscopic release and commercially available nasal airway splint.

A mixed-method study to develop and evaluate a structured therapeutic communication module on psychological distress and perceived needs among caregivers of critically ill patients in Critical Care Units.

Aims And Objectives: To develop and evaluate the effectiveness of a structured therapeutic communication module on psychological distress and perceived needs among caregivers of critically ill patients.

Background: Caregivers of critically ill patients experience intense psychological distress, and their needs often go unexpressed or unidentified. Structured therapeutic communication enables nurses to explore and fulfill these needs.

Clinical Conundrum: Unveiling a Unique Presentation of Hypopharyngeal Carcinoma.

Dysphagia is a common symptom encountered in clinical practice, typically associated with a wide range of etiologies, including structural abnormalities, inflammatory conditions, neoplasms, and neurological disorders. However, the combination of subcutaneous emphysema, vocal cord palsy, enlarged arytenoids, and pooling of saliva in a dysphagic patient represents a rare and intriguing presentation. A 33-year-old female presented at a tertiary care hospital in Western India with hoarseness of voice, difficulty in swallowing, productive cough, and neck pain for two months with an abrupt increase in the severity of all symptoms in two days.

Machine learning facilitated structural activity relationship approach for the discovery of novel inhibitors targeting EGFR.

This research manuscript aims to find the most effective epidermal growth factor receptor (EGFR) inhibitors from millions of in house compounds through Machine Learning (ML) techniques. ML-based structure activity relationship (SAR) models were validated to predict biological activity of untested novel molecules. Six ML algorithms, including k nearest neighbour (KNN), decision tree (DT), Logistic Regression, support vector machine (SVM), multilinear regression (MLR), and random forest (RF), were used to build for activity prediction.