BACKGROUND: Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year surviv... read more
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition
marked by disruptions in brain connectivity. Functional MRI (fMRI) offers a
non-invasive window into large-scale neural dynamics by measuring
blood-oxygen-level-dependent (BOL... read more
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more
Accurate compensation of brain shift is critical for maintaining the
reliability of neuronavigation during neurosurgery. While keypoint-based
registration methods offer robustness to large deformations and topological
changes, they typically rely o... read more
International journal of clinical pharmacy
Aug 19, 2025
INTRODUCTION: Drug-induced movement disorders (DIMDs) are often underrecognized and challenging to diagnose and manage in clinical practice. Sodium valproate (VPA), a widely prescribed antiepileptic drug, causes DIMDs. Predictive modeling based on el... read more
Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding ... read more
BACKGROUND: COVID-19 continuously causes severe disease conditions and significant mortality. We evaluate whether easily accessible biomarkers can improve risk prediction of severe disease outcomes. read more
IEEE transactions on neural networks and learning systems
Aug 19, 2025
In recent years, bidirectional convolutional recurrent neural networks (RNNs) have made significant breakthroughs in addressing a wide range of challenging problems related to time series and prediction applications. However, the performance of the m... read more
BACKGROUND: Recent advances in artificial intelligence (AI) have contributed to improved predictive modeling in health care, particularly in oncology. Traditional methods often rely on structured tabular data, but these approaches can struggle to cap... read more
DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n... read more
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