Incidence, Prediction, and Prevention of Fractures After Kidney Transplantation: A Systematic Review Protocol.

Background: Kidney transplant recipients are uniquely exposed to the disordered bone metabolism associated with chronic kidney disease beginning before transplantation followed by chronic corticosteroid use after transplantation. Previous efforts to synthesize the rapidly accruing evidence regarding estimation and management of fracture risk in kidney transplant recipients are outdated and incomplete.

Objective: To synthesize the evidence informing the overall incidence, patient-specific risk prediction, and methods of prevention of fractures in patient living with a kidney transplant.

Investigating Emotional Intelligence: A Cross-Sectional Study of Pune's Postgraduate Medical Scholars.

Introduction Emotional intelligence (EI), which encompasses the ability to perceive, understand, and manage emotions, is crucial for effective human interaction. In healthcare, especially in medicine, compassion and empathy are prioritized qualities associated with enhanced patient outcomes, increased patient compliance, and overall improved healthcare experiences. This study focused on postgraduate medical students to assess their EI levels and identify influencing factors.

Maternal and child health services during COVID-19 in India: Highlighting the role of primary care physicians in maintaining continuum of care.

Background: This study aims to address the lack of substantial evidence regarding the effect of COVID-19 on maternal and child health (MCH) services in India and also highlight the role of primary care physicians in maintaining essential services during a pandemic. While studies conducted worldwide and in India have examined the effects of COVID-19 on these services, a significant gap in robust evidence remains.

Methods: Forty-two districts were selected randomly from seven regional states of India.

Vicilin, a chitin binding protein from Sesbania grandiflora: Structural insights and functional potential as an antifungal agent.

Sesbania grandiflora, a fast-growing shrub from the Fabaceae family, is extensively researched for its therapeutic properties. Despite its highly valued medicinal properties, there have been no reports on exploring the proteome of Sesbania grandiflora. The present study aims to address this gap by investigating the proteomic profile of Sesbania grandiflora seeds with a primary focus on identifying storage proteins.

Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity.

Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.

Methods And Materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma.