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Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.
ACS Sens
January 2025
Department of Physics and Astronomy, Franklin College of Arts and Sciences, The University of Georgia, Athens, Georgia 30602, United States.
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.
View Article and Find Full Text PDFIdentification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models.
PLoS One
January 2025
Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China.
Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of visual degradation and loss among the global population. Therefore, the identification and classification of diabetic retinopathy are of utmost importance in the clinical diagnosis and therapy. Currently, these duties are extensively carried out by manual examination utilizing the human visual system.
View Article and Find Full Text PDFPerformance of Creatinine and Cystatin-Based Equations on Estimating Measured Glomerular Filtration Rate in People with Hematological and Solid Cancers.
Clin J Am Soc Nephrol
January 2025
Nephrology and Hypertension Division, Mayo Clinic, Rochester, MN.
Background: Glomerular filtration rate (GFR) assessment is important in clinical practice, with implications for diagnosis, prognostication, and drug dosing. People with cancer are at risk of imprecision in GFR estimation. This cross-sectional study evaluated the performance of various creatinine and cystatin C-based equations in comparison to measured GFR (mGFR) in people with cancer.
View Article and Find Full Text PDFGenomic profiling at a single center cracks the code in inborn errors of immunity.
Intern Emerg Med
January 2025
Unit of Internal Medicine and Clinical Oncology "G. Baccelli", Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro Medical School, Bari, Italy.
Inborn errors of immunity (IEI) entail a diverse group of disorders resulting from hereditary or de novo mutations in single genes, leading to immune dysregulation. This study explores the clinical utility of next-generation sequencing (NGS) techniques in diagnosing monogenic immune defects. Eight patients attending the immunodeficiency clinic and with unclassified antibody deficiency were included in the analysis.
View Article and Find Full Text PDFEvaluating robustly standardized explainable anomaly detection of implausible variables in cancer data.
J Am Med Inform Assoc
January 2025
Information Systems and Business Administration, Johannes Gutenberg University, Mainz 55128, Germany.
Objectives: Explanations help to understand why anomaly detection algorithms identify data as anomalous. This study evaluates whether robustly standardized explanation scores correctly identify the implausible variables that make cancer data anomalous.
Materials And Methods: The dataset analyzed consists of 18 587 truncated real-world cancer registry records containing 8 categorical variables describing patients diagnosed with bladder and lung tumors.
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