Deep learning for property prediction of natural fiber polymer composites
Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for…
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MentalAId: an improved DenseNet model to assist scalable psychosis assessment
Abstract Background: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions…
Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data
Abstract The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational…
Real-Time Continuous Glucose Monitoring in Pregnancies With Gestational Diabetes Mellitus: A Randomized Controlled Trial
Abstract OBJECTIVE: To compare the efficacy of real-time continuous glucose monitoring (CGM; intervention) with capillary blood glucose (CBG) monitoring (control)…
The Safety and Effectiveness of Multi-Segment Cortical Bone Trajectory Screws in Adult Degenerative Scoliosis with Stenosis Among the Elderly: Minimum 5-year Follow-up Study
Abstract Purpose: To evaluate the long-term efficacy and safety of multi-segment cortical bone trajectory screws for treating mild adult degenerative…
Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma
Abstract Background: Cancer immunotherapy has revolutionized treatment, yet predicting patient responses remains challenging. The potential of nuclear receptor coactivator 4…
Management and outcomes of patients with obstructive jaundice from pancreatobiliary diseases in Rwanda
Abstract Background: Obstructive jaundice from pancreatobiliary diseases represents a significant global health challenge, particularly in resource-limited settings like Rwanda. While…
ATP6V0A4 as a novel prognostic biomarker and potential therapeutic target in oral squamous cell carcinoma
Abstract Background: Increasing evidence indicates that the dysregulation of ATP6V0A4 is linked to aggressive behaviors in various types of cancer.…
Deep graph convolutional network-based multi-omics integration for cancer driver gene identification
Abstract Cancer driver genes play a pivotal role in understanding cancer development, progression, and therapeutic discovery. The plenty of accumulation…
Development of a prognostic model based on m6A reader HNRNPA2B1 upregulation and immune infiltration in multiple malignant tumors
Abstract Background: High HNRNPA2B1 expression has been previously observed in diverse tumor types. On this basis, the present work focused…