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http://dx.doi.org/10.1016/j.adaj.2020.11.012 | DOI Listing |
Bull Math Biol
January 2025
Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, USA.
Immune events such as infection, vaccination, and a combination of the two result in distinct time-dependent antibody responses in affected individuals. These responses and event prevalence combine non-trivially to govern antibody levels sampled from a population. Time-dependence and disease prevalence pose considerable modeling challenges that need to be addressed to provide a rigorous mathematical underpinning of the underlying biology.
View Article and Find Full Text PDFJ Nat Med
January 2025
Department of Endocrinology, Cangzhou Central Hospital, No. 16 West Xinhua Road, Cangzhou, 061000, Hebei, China.
Thioredoxin-interacting protein (TXNIP), as a pivotal protein in the cellular stress response, plays a significant role in the progression of diabetic nephropathy (DN). Consequently, therapeutic strategies aimed at targeting TXNIP may offer novel interventions for patients with DN. Our study is to explore the therapeutic potential of targeting TXNIP in mitigating renal tubular injury induced by hyperglycemia.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.
Objective: Calcific tendinopathy, predominantly affecting rotator cuff tendons, leads to significant pain and tendon degeneration. Although US-guided percutaneous irrigation (US-PICT) is an effective treatment for this condition, prediction of patient' s response and long-term outcomes remains a challenge. This study introduces a novel radiomics-based model to forecast patient outcomes, addressing a gap in the current predictive methodologies.
View Article and Find Full Text PDFCurr Treat Options Oncol
January 2025
Department of Pharmacognosy, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Integrating clinical datasets in breast cancer research emerges as a necessary tool for advancing our knowledge of the disease and enhancing patient outcomes. Synthesizing diverse datasets offers advantages, from facilitating evidence-based insights to enabling predictive analytics and precision medicine strategies. Crucially, effective integration of clinical datasets necessitates collaborative efforts, policy interventions, and technological advancements to elevate global standards of breast cancer care.
View Article and Find Full Text PDFCJEM
January 2025
Department of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada.
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