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STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

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November 2024

Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.

Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.

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Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).

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Background: Monkeypox (Mpox), is a disease of global public health concern, as it does not affect only countries in western and central Africa.

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Medial capsulorrhaphy is an important step in hallux valgus correction surgery; however, studies on this technique are limited. This study aimed to evaluate the viability and efficacy of modified medial capsulorrhaphy using figure-of-eight sutures for hallux valgus compared to the conventional technique. Retrospective analysis was performed on patients with hallux valgus, comparing a group receiving standard longitudinal capsulorrhaphy (Group 1) and a group that underwent modified capsulorrhaphy using figure-of-eight sutures (Group 2).

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Mucopolysaccharidosis type I (MPS I) is a metabolic disorder characterized by a deficiency in α-l-iduronidase (IDUA), leading to impaired glycosaminoglycan degradation. Current approved treatments seek to restore IDUA levels via enzyme replacement therapy (ERT) and/or hematopoietic stem cell transplantation (HSCT). The effectiveness of these treatment strategies in preventing neurodegeneration is limited due to the inability of ERT to penetrate the blood-brain barrier (BBB) and HSCT's limited CNS reconstitution of IDUA levels.

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