Trichosporon infection in chronic kidney disease patients from a tertiary care hospital - a case series or an outbreak? An unanswered question but a well-managed problem.

While the majority of spp. isolated in clinical laboratories are typically associated with episodes of colonization or superficial infections, this fungal species has gained recognition as an opportunistic pathogen, leading to invasive infections worldwide. In this article, we present a case series of spp.

Longitudinal Evaluation of Developmental Protein Malnutrition Resembling Marasmic-Kwashiorkor Condition in Wistar Rats.

Objectives: Protein malnutrition (PMN) is a significant public health concern that can aggravate pathological states. The impact of early malnutrition on metabolism needs extensive evaluation. Current models employ short-term diet restriction and are neither ethically correct nor clinically relevant.

Awareness and Knowledge of Adverse Drug Reactions and Pharmacovigilance Among Medical and Nursing Students and Staff in a Tertiary Care Hospital.

Background Pharmacovigilance is defined as the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or other drug-related problems. Underreporting of adverse drug reactions (ADRs) is a global issue, and adequate knowledge among healthcare professionals is essential. Engaging young doctors and nursing professionals in pharmacovigilance is crucial for promoting ADR reporting.

Effective cardiac disease classification using FS-XGB and GWO approach.

Globally, cardiovascular diseases (CVDs) are a leading cause of death; however, their impact can be greatly mitigated by early detection and treatment. Machine learning (ML)-based algorithms that use features extracted from electrocardiogram (ECG) signals are known to provide good accuracy in predicting various CVDs. Thus, in order to build more effective and efficient machine learning models, it is necessary to extract significant features from ECGs.