Publications by authors named "V R Pradhan"

Background: Celiac disease (CeD) has shown an association with autoimmune disorders including vitiligo and alopecia areata (AA). Ritlecitinib, a JAK3 and TEC kinase family inhibitor, has been approved for treatment of patients with AA and is in late-stage development for vitiligo. Ritlecitinib inhibits cytotoxic T cells, NK cells, and B cells which play a role in the pathogenesis of CeD.

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In recent post-mortem human subjects (PMHS) studies in a high-speed rear-facing frontal impact (HSRFFI), the PMHS sustained multiple rib fractures. The seatback structure and properties of the seats might contribute to these fractures. This study aimed to determine if a homogeneous rear-facing seat with foam-covered seatback would mitigate the risk of thoracic injury during an HSRFFI.

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One of the grand challenges in chemical biology is identifying a small-molecule modulator for all proteins within a proteome. To expand the variety and number of ligandable proteins for drug discovery, the objective of this study was to synthesize and evaluate the protein target profiles of electrophilic and photoreactive fully functionalized small-molecule probes (FFSMPs) featuring increased scaffold-, appendage-, and protein-reactive functional group (PRFG) diversity. FFSMPs contain: (1) a protein-binding motif, (2) an electrophilic or photoreactive PRFG for target protein capture, and (3) a terminal alkyne for click chemistry-based proteomic applications.

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Article Synopsis
  • The study focuses on parameter estimation in Software Reliability Growth Models (SRGMs), highlighting its importance in reliability assessment after model construction.
  • It critiques traditional estimation methods like maximum likelihood estimation (MLE) and least squares estimation (LSE), proposing the use of metaheuristic optimization algorithms to overcome their limitations.
  • Four specific metaheuristic algorithms—Grey-Wolf Optimizer (GWO), Regenerative Genetic Algorithm (RGA), Sine-Cosine Algorithm (SCA), and Gravitational Search Algorithm (GSA)—are compared, with findings indicating that RGA and GWO outperform others in estimating parameters effectively and efficiently.
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Objectives: Preservation of brain health is an urgent priority for the world's ageing population. The evidence base for brain health optimisation strategies is rapidly expanding, but clear recommendations have been limited by heterogeneity in measurement of brain health outcomes. We performed a scoping review to systematically evaluate brain health measurement in the scientific literature to date, informing development of a core outcome set.

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