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Detection of early relapse in multiple myeloma patients.
Cell Div
January 2025
Babak Myeloma Group, Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Background: Multiple myeloma (MM) represents the second most common hematological malignancy characterized by the infiltration of the bone marrow by plasma cells that produce monoclonal immunoglobulin. While the quality and length of life of MM patients have significantly increased, MM remains a hard-to-treat disease; almost all patients relapse. As MM is highly heterogenous, patients relapse at different times.
View Article and Find Full Text PDFA pre-rule for the sequential probability ratio test in a between-item grid multidimensional computerized classification test.
Behav Res Methods
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, 300044, Taiwan.
The measurement efficiency of a grid multidimensional computerized classification test (grid MCCT), which makes a classification decision per dimension, can be improved by taking the correlations between the dimensions into account in the termination criterion. The higher the correlations, the better the improvement in measurement efficiency. However, a termination criterion utilizing inter-dimensional information (i.
View Article and Find Full Text PDFDevelopment of a Deep Learning Model for Automating Implant Position in Total Hip Arthroplasty.
J Arthroplasty
January 2025
Vanderbilt University Medical Center, Department of Orthopaedic Surgery.
Introduction: Novel methods for annotating antero-posterior (AP) pelvis radiographs and fluoroscopic images with deep-learning models have recently been developed. However, their clinical use has been limited. Therefore, the purpose of this study was to develop a deep learning model that could annotate clinically relevant pelvic landmarks on both radiographic and fluoroscopic images and automate total hip arthroplasty (THA)-relevant measurements.
View Article and Find Full Text PDFCharacterization of language abilities and semantic networks in very preterm children at school-age.
PLoS One
January 2025
Clinic of Neonatology, Department of Mother-Woman-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
It has been widely assessed that very preterm children (<32 weeks gestational age) present language and memory impairments compared with full-term children. However, differences in their underlying semantic memory structure have not been studied yet. Nevertheless, the way concepts are learned and organized across development relates to children's capacities in retrieving and using information later.
View Article and Find Full Text PDFMining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model.
Bioresour Bioprocess
January 2025
Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biological and Environment Engineering, Zhejiang Shuren University, Hangzhou, 310015, China.
Feruloyl esterases (FEs, EC 3.1.1.
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