Publications by authors named "S Kosta"
Introduction: To date, lung cancer is one of the most lethal diagnoses worldwide. A variety of lung cancer treatments and modalities are available, which are generally presented during the patient and doctor consultation. The implementation of decision tools to facilitate patient's decision-making and the management of their healthcare process during medical consultation is fundamental.
View Article and Find Full Text PDFBackground: Obesity is a significant public health issue; new therapies and pharmaceutical approaches to weight management are needed.
Objective: This study assesses weight reduction efficacy in the novel swallow balloon procedure and semaglutide, both promising non-surgical and pharmaceutical options, addressing obesity's critical public health challenge.
Methods: This was a computer-generated, blocked randomisation, double-blind, single-centre study.
Article Synopsis
- The use of immune checkpoint inhibitors (ICIs) has changed cancer treatment, but identifying which patients will benefit is still difficult, and AI can help analyze large amounts of cancer data.
- A systematic review analyzed 90 studies on ICI efficacy prediction across various data types, with a majority focusing on genomic information; most studies employed standard machine learning techniques.
- Although promising AI methods for predicting ICI responses were found, none of the studies demonstrated high-level evidence, with many using AI only after the fact rather than from the start.
Myosin heavy chains encoded by MYH7 and MYH2 are abundant in human skeletal muscle and important for muscle contraction. However, it is unclear how mutations in these genes disrupt myosin structure and function leading to skeletal muscle myopathies termed myosinopathies. Here, we used multiple approaches to analyze the effects of common MYH7 and MYH2 mutations in the light meromyosin (LMM) region of myosin.
View Article and Find Full Text PDFBackground: A genotype study of filaggrin gene loss-of-function mutations in central India can provide valuable insights into the prevalence and association of these mutations with atopic dermatitis (AD) and ichthyosis vulgaris (IV) in the region. The R501X and 2282del4 are both genetic variants in the human gene called filaggrin gene (), which encodes a protein that plays an important role in the formation and maintenance of the skin barrier. In this study, we determined the R501X and 2282del4 variants association with both AD and IV in Central Indian populations.
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