OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X-associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs)... read more
Hybrid simulation is essential for modeling biochemical systems that mix low-copy stochastic dynamics with high-abundance deterministic processes. We present HySimODE, a Python framework that automates hybrid simulation directly from user-defined ord... read more
MOTIVATION: Spatial transcriptome data have both gene expression information and cell spatial location information, offering exceptional prospects for analyzing cell-cell interaction (CCI) network. Most existing statistical and optimal transport-base... read more
Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease pathogenesis. Pulmonary macrophages comprise two distinct ontogenetic populations: self-renewing tis... read more
Plasma small extracellular vesicles (sEVs) are a promising liquid biopsy tool. This study aims to delineate and validate a multimodal plasma sEV biomarker signature for glioma. We use size exclusion chromatography to separate sEVs from plasma (1 mL) ... read more
Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretable biomarke... read more
Machine learning (ML) offers powerful tools for clinical risk prediction, enhancing traditional statistical approaches through improved pattern recognition and predictive capability-its role and use in cardiovascular care and research is expanding. T... read more
Immediate implant placement and interim restoration in the anterior maxilla remains challenging because of the high esthetic demands and the risk of soft-tissue recession. This clinical report describes a fully digital workflow integrating artificial... read more
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