Analysing the relevance of TGF-β and its regulators in cervical cancer to identify therapeutic and diagnostic markers.

The role of transforming growth factor-beta (TGF-β) is dual, such that, it inhibits tumor development in initial stage and promotes metastasis in later stage. The present study is aimed to analyse the relevance of different types of TGF-β and their receptors on the overall survival (OS) and TGF-β driven gene expression in individuals with cervical cancer (CC) using ONCODB and GEPIA databases. The in-silico gene expression analysis showed, TGF-β1 and TGFβR2 are upregulated in cells infected with human papilloma virus (HPV)16, whereas, TGF-β2, TGFβR1 and TGFβR3 expression were downregulated.

Does tilt-retrograde intrarenal surgery enhance stone clearance and offer better surgical ergonomics in patients with renal calculi? A prospective randomized control study.

Introduction: Retrograde intrarenal surgery (RIRS) is the standard treatment for renal calculi. Direct visualization and fragmentation are its major advantages. The variable stone clearance rates and the ergonomic challenges faced by urologists are a few limitations.

Revisiting Standard Percutaneous Nephrolithotomy in the Mini-Percutaneous Nephrolithotomy/Retrograde Intrarenal Surgery Era: A Retrospective Audit.

Objective This study aims to identify the risk factors associated with postoperative complications following standard percutaneous nephrolithotomy (PCNL) for better results with the emergence of mini-percutaneous nephrolithotomy (mini-PCNL)/retrograde intrarenal surgery (RIRS) in recent years. Methodology This retrospective study was conducted in the Department of Urology, Sri Ramachandra Institute of Higher Education and Research, tertiary health care center in Chennai, India, from January 2018 to December 2023. Records of demographic information, along with clinical presentations like any urinary tract infection (UTI), hematuria, or loin pain were recorded.

Kruskal Szekeres generative adversarial network augmented deep autoencoder for colorectal cancer detection.

Cancer involves abnormal cell growth, with types like intestinal and oesophageal cancer often diagnosed in advanced stages, making them hard to cure. Symptoms are like burning sensations in the stomach and swallowing difficulties are specified as colorectal cancer. Deep learning significantly impacts the medical image processing and diagnosis, offering potential improvements in accuracy and efficiency.