Precision Medical Sciences

The main aim of this study was to elucidate and clarify the manifestations of occupational anxiety among young postoperative thyroid cancer survivors before returning to work and to explore strategies and support needed to cope upon their return to work.

This study compares the diagnostic value of the anti-p53 autoantibody as potential biomarkers for gastrointestinal cancer with enzyme-linked immunosorbent assay technique.

Hypericin and Resveratrol can be proposed as beneficial accompanying reagents in cancer immunotherapy and retinoblastoma treatment.

Skin cancer represents a significant health risk, underscoring the crucial need for early detection as a preventive measure. It can be difficult to determine a skin spot's potential hazard just by looking at it and feeling it, though. Recent research has examined early classification methods, including deep learning (DL) and computer vision, to address this issue. This article provides a comprehensive overview of methodologies and tools employed in skin cancer detection research over the last 6 years. The exploration encompasses the entire classification process, spanning data preprocessing, segmentation, feature extraction, feature selection, and final classification. This article has investigated diverse datasets and utilized techniques such as DL and ML in conjunction with computer vision to improve diagnostic accuracy. Despite notable achievements, challenges persist due to the diverse nature of skin lesions. This study aims to critically analyze existing approaches for diagnosing skin cancer, highlighting unresolved issues and providing insights to guide future research in refining and advancing early categorization strategies.

(A) Visualization of the interactions between upregulated and downregulated genes in invasive and non-invasive pituitary adenomas, highlighting the central role of EGFR and JAK2 as master gene biomarkers. (B) Expression density plots show the distribution of gene expression values after normalization, and volcano plots illustrate significant DEGs between invasive and non-invasive conditions. (C) Boxplots display the standard deviation across all normalized samples, ensuring consistent data preprocessing for downstream analysis.