Publications by authors named "M Vijayakumar"

Article Synopsis
  • The study investigates the clinical profiles and outcomes of patients diagnosed with deep neck space infections (DNSI), emphasizing the need for early surgical intervention and effective airway management.
  • It highlights the primary causes of DNSI, which include nodal and odontogenic origins, and stresses that untreated underlying issues could lead to recurrent infections, increasing risks of morbidity and mortality.
  • The research evaluated 20 patients in India, finding that the majority were male, with diabetes being a common risk factor; most cases were of nodal origin, with significant involvement of the submandibular space and the Streptococcus species identified as a common pathogen.
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The quest for cost-efficient and high-performance electrocatalysts towards electrocatalytic water splitting is a key and an interdisciplinary area of study. Considerable progress is being driven by developments in the field of energy research. In a fundamental study, we have synthesized NHC precursors ( and ) and corresponding metal-NHC complexes of silver(I)- ( and ) and ruthenium(II)- ( and ) of a N-heterocyclic carbene-based ligand type incorporating coumarins.

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Background: Atypical presentations of ACS delay its recognition and treatment in the older adults. During hospitalization, depression and functional decline, which is unique to older adults, leads to poor clinical outcome. Steps taken for its prevention is unlikely to become a priority for the Cardiologist.

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Article Synopsis
  • Drug resistance is a major challenge in treating head and neck cancers, prompting the development of a new platform to visualize and analyze the molecular changes associated with this resistance.
  • Researchers identified 2364 differentially expressed molecules linked to drug resistance in HNC, including various types of RNAs and proteins, with 255 identified as key driver genes.
  • A publicly-accessible database, HNCDrugResDb, was created to help users explore molecular alterations and signaling pathways involved in drug resistance, with tools to predict resistance likelihood based on gene expression, aiming to enhance future drug discovery and personalized medicine.
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