Publications by authors named "M Israr Ur Rehman"

(PA) is an opportunistic gram-negative pathogen that can infect the cornea, leading to permanent vision loss. Autophagy is a cannibalistic process that drives cytoplasmic components to the lysosome for degradation and/or recycling. Autophagy has been shown to play a key role in the removal of intracellular pathogens and, as such, is an important component of the innate immune response.

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Photoactivatable gold nanocarriers are transforming antitumor therapies by leveraging their distinctive physicochemical properties, enabling targeted drug delivery and enhanced therapeutic efficacy in cancer treatment. This study systematically investigates how surface topography and morphology of gold nanocarriers influence drug loading capacity, light-to-heat conversion efficiency, and overall therapeutic performance in photo/chemotherapy. We synthesized four distinct morphologies of gold nanoparticles: porous gold nanocups (PAuNCs), porous gold nanospheres (PAuNSs), solid gold nanocups (SAuNCs), and solid gold nanospheres (SAuNSs).

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Background: Hypoxemia occurs with relative frequency during one-lung ventilation (OLV) despite advances in airway management. Lung perfusion scans are thought to be one of the most accurate methods to predict hypoxemia during OLV, but their complexity and costs are well-known limitations. There is a lack of preoperative stratification models to estimate the risk of intraoperative hypoxemia among patients undergoing thoracic surgery.

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Erdheim-Chester disease (ECD) is an extremely rare non-Langerhans cell disorder that is believed to include both inflammatory and neoplastic characteristics. It is caused due to genetic mutations in proto-oncogenes like BRAF and MEK, while immunological pathways have an essential role in the onset and progression of the disease. Despite its rarity, ECD poses significant diagnostic and therapeutic challenges due to its heterogeneous clinical presentation and limited understanding of its underlying pathophysiology.

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Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan.

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