Publications by authors named "A B Rajasekaran"
Article Synopsis
- High-dose methotrexate (MTX) can lead to serious complications like acute kidney injury (AKI), neutropenia, and liver damage, but glucarpidase, an enzyme that breaks down MTX, shows potential benefits.
- In a study of 708 patients with MTX-AKI across 28 cancer centers, those receiving glucarpidase had a significantly higher chance of kidney recovery and faster recovery times compared to those who did not receive the treatment.
- Additionally, glucarpidase treatment was associated with lower rates of severe neutropenia and liver enzyme elevation, but there was no notable difference in mortality rates between the two groups.
Article Synopsis
- Recent research on mRNA therapeutics has increased due to COVID-19, with applications in vaccination, cancer therapy, and immune modulation, but they face challenges like instability and degradation.
- Traditional agarose gel electrophoresis has been the standard for analyzing RNA, but newer methods, like those using the Agilent 2100 Bioanalyzer, offer better quality assessment despite being more expensive and less accessible.
- The proposed full-lane quantification (FLQ) method integrates ImageJ with programming in Python and R to provide a quick and affordable way to evaluate mRNA degradation, yielding results comparable to those from more sophisticated systems.
In recent years with the improvement of information communication technology (ICT) and wireless communication, Online Trading Environment (OTE) has become a popular E-commerce platform to connect sellers and buyers in an efficient way. As, OTE's are increasing in a wider range, the authentication and verification of entities in OTE network becomes a challenging task. Although, some authentication schemes exist in OTE's, they have flaws such as account creation delays, authentication delays, communication cost and user privacy.
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- The study explores the growing use of deep learning algorithms in radiology for diagnostic support, emphasizing the need for Explainable AI (XAI) to enhance transparency and trust among healthcare professionals.
- A user study evaluated two visual XAI techniques (Grad-CAM and LIME) in diagnosing pneumonia and COVID-19 from chest images, achieving high accuracy rates of 90% and 98%, respectively.
- Despite generally positive perceptions of XAI systems, participants showed limited awareness of their practical benefits, with Grad-CAM being favored for coherency and trust, though concerns about its usability in clinical settings were noted.
Pelizaeus-Merzbacher disease (PMD) is an X-linked recessive rare disease condition in which audiological deficit is also observed. A 4-year-old male child with PMD underwent an audiological evaluation. The results suggested normal middle ear and outer hair cells functioning, with only peak I of the auditory brainstem response present until 30 dBnHL.
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