Publications by authors named "P Laxmish Mallya"

Background: Heart failure (HF) is increasing in the United States, and awareness is needed for prevention. Hypertension is the leading cause of HF, and adherence to antihypertensive medication is critical for reducing HF risk. Self-efficacy positively influences health-promoting behaviors.

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Polycystic ovary syndrome (PCOS) is a ubiquitous reproductive condition with triggering hallmarks such as glucose intolerance, hyperandrogenism, and dyslipidemia. Despite the existence of various PCOS animal models, an ideal model which could encompass all PCOS-specific phenotype is of dire need. Dehydroepiandrosterone (DHEA) induced PCOS rats are frequently employed; though, determining the superior model among pubertal and prepubertal rats, incorporation of high fat diet (HFD), and their sustainability remains uncertain.

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Article Synopsis
  • - The American Heart Association's Get With The Guidelines (GWTG) program aims to enhance inpatient care for various cardiovascular conditions and utilizes real-world clinical data for biomedical research.
  • - A scalable database was created using PostgreSQL, along with an integrated user interface (UI) developed in Python's Django, allowing efficient data processing, quality control, and user-friendly access to over 13.2 million patient records.
  • - The newly implemented tools improve data management and accessibility, catering to both technical and non-technical researchers by simplifying data extraction and presenting it in an easy-to-understand format.
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In drug development, conventional preclinical and clinical testing stages rely on cell cultures and animal experiments, but these methods may fall short of fully representing human biology. To overcome this limitation, the emergence of organ-on-a-chip (OOC) technology has sparked interest as a transformative approach in drug testing research. By closely replicating human organ responses to external signals, OOC devices hold immense potential in revolutionizing drug efficacy and safety predictions.

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