Neuromorphic computing has got more attention in various tasks during recent years. The main goal of this field is to explore neural functionality in the brain. The studies of spiking neurons and Spiking Neural Networks (SNNs) are vital to understand...
With the development of science and technology, higher education faces the challenge of AIGC. As one of the central bodies of higher education, it is essential to understand whether teachers accept this new technology and what factors influence their...
BACKGROUND: Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models off...
OBJECTIVE: Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. This study aims to explore the correlation between the spatial distribution of lymphocyte aggregates and the prognosis of MIBC using deep learning.
SERS has revolutionized viral detection with its high sensitivity and specificity. This review comprehensively explores the application progress, challenges, and future directions of SERS in viral detection. Firstly, the fundamental principles of SER...
BACKGROUND: Metastasis represents the primary cause of cancer-related mortality, with a high incidence observed in renal cell carcinoma (RCC). Anoikis, a specialized form of apoptosis, plays a crucial role in preventing displaced cells from adhering ...
International journal of pharmaceutics
Aug 19, 2025
Nanoparticles (NPs) represent critical roles both for drug delivery systems and diagnostics. Nevertheless, due to interaction in a biological medium and specific consequences-like formation of protein corona (PC), changes may happen that have influen...
RESEARCH PURPOSE: This study proposes MMFi-DPBML, a deep learning framework that in-tegrates multi-molecular fingerprint features for predicting ingredient-target interactions (ITIs) in traditional Chinese medicine (TCM). By capturing di-verse struct...
Journal of chemical information and modeling
Aug 19, 2025
Nephrotoxicity remains a critical safety concern in drug development and clinical practice. Despite their significance, existing computational models for nephrotoxicity prediction face challenges related to limited precision and reliability. To addre...
Neurology(R) neuroimmunology & neuroinflammation
Aug 19, 2025
BACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), neurodegeneration results from the interplay between disease-specific pathology and normal aging. Conventional MRI captures morphologic changes in neurodegeneration, while quantitative MRI (qMRI)...
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