Bacterial infections and antimicrobial resistance patterns: a comprehensive analysis of health dynamics across regions in Pakistan (2013-2023).

Antimicrobial resistance (AMR) is a significant public health concern globally, and Pakistan is no exception. The misuse and overuse of antibiotics, inadequate regulation of their sale, and a lack of awareness contribute to the rising levels of AMR in the country. study presents a detailed analysis of blood and urine samples collected in Pakistan over various periods, focusing on pathogen prevalence, gender distribution, and age-wise patterns.

Assessment of Chromosomal Aberrations and S-phase Fraction in Patients With Esophageal Cancer.

Introduction: The varying pace of cell proliferation influences cancer development and persistent growth. S-phase fraction (SPF) refers to the percentage of cells in a tumor in the cell cycle phase, during which DNA is synthesized. SPF has been correlated with nuclear grade, tumor size, estrogen receptor, progesterone receptor, metastasis, and clinical response to neoadjuvant chemotherapy.

Association of Insertion/Deletion Polymorphisms of MDM2, MCP-1 and VEGF with Esophageal Cancer Risk in North-West Indians: A Case - Control Study.

Background: The carcinogenesis process in esophageal cancer (EC), a highly heterogeneous and multifaceted disease, is influenced by both tumor angiogenesis and chronic inflammation pathways. Genetic variants in these pathways may affect the progression and development of EC, ultimately contributing to different susceptibilities to cancer among individuals.

Methods: In this study, a total of 536 subjects were recruited, including 260 EC patients and 276 healthy individuals.

Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum.

Cryptocurrency represents a form of asset that has arisen from the progress of financial technology, presenting significant prospects for scholarly investigations. The ability to anticipate cryptocurrency prices with extreme accuracy is very desirable to researchers and investors. However, time-series data presents significant challenges due to the nonlinear nature of the cryptocurrency market, complicating precise price predictions.