Publications by authors named "M Rajesh Kumar"

Purpose: To assess the repeatability of lipid layer thickness (LLT) measurement using the LipiView® interferometer after daily disposable contact lens (CL) wear and correlation with ocular comfort in soft contact lens wearers.

Methods: A prospective study was conducted over two consecutive months, wherein CL wearers (n = 20) wore either Somofilcon A or Verofilcon A daily disposable CLs in a crossover design, switching lenses after 1 month. The pre-corneal tear film LLT was measured at the end of each month after CLs had been worn for at least 6 h.

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A new era in genomic medicine has been brought by the development of CRISPR-Cas technology, which presents hitherto unheard-of possibilities for the treatment of metabolic illnesses. The treatment approaches used in CRISPR/Cas9-mediated gene therapy, emphasize distribution techniques such as viral vectors and their use in preclinical models of metabolic diseases like hypercholesterolemia, glycogen storage diseases, and phenylketonuria. The relevance of high-throughput CRISPR screens for target identification in discovering new genes and pathways associated with metabolic dysfunctions is an important aspect of the discovery of new approaches.

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A wide range of pollutants, including heavy metals, endocrine-disrupting chemicals (EDCs), residual pesticides, and pharmaceuticals, are present in various water systems, many of which strongly drive the proliferation and dissemination of antimicrobial resistance genes (ARGs), heightening the antimicrobial resistance (AMR) crisis and creating a critical challenge for environmental and health management worldwide. This study addresses the impact of anthropogenic pollutants on AMR through an extensive analysis of ARGs and mobile genetic elements (MGEs) in urban wastewater, source water, and drinking water supplies in India. Results indicated that bla and bla were the dominant ARGs across all water systems, underscoring the prevalence and dominance of resistance against β-lactam antibiotics.

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Introduction: The rapid adoption of electronic health record (EHR) systems has resulted in extensive archives of data relevant to clinical research, hospital operations, and the development of learning health systems. However, EHR data are not frequently available, cleaned, standardized, validated, and ready for use by stakeholders. We describe an in-progress effort to overcome these challenges with cooperative, systematic data extraction and validation.

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