GRAPH CONTRASTIVE LEARNING WITH NODE-LEVEL ACCURATE DIFFERENCE

Graph contrastive learning with node-level accurate difference

Graph contrastive learning (GCL) has attracted extensive research interest due to its powerful ability to capture latent structural and semantic information of graphs in a self-supervised manner.Existing GCL methods commonly adopt predefined graph augmentations to generate two contrastive views.Subsequently, they design a contrastive pretext task b

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Monitoring of regulatory T cell frequencies and expression of CTLA-4 on T cells, before and after DC vaccination, can predict survival in GBM patients.

Dendritic cell (DC) vaccines have recently emerged as an innovative therapeutic option for glioblastoma patients.To identify novel surrogates of anti-tumor immune responsiveness, we studied the dynamic expression of activation and inhibitory markers on peripheral blood lymphocyte (PBL) subsets in glioblastoma patients treated with DC vaccination at

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Role of Transbronchial Lung Cryobiopsies in Diffuse Parenchymal Lung Diseases: Interest of a Sequential Approach

Background.Transbronchial lung cryobiopsies (TBLCs) are a promising diagnostic tool in the setting of diffuse parenchymal lung diseases (DPLDs).However, no comparison with surgical lung biopsy (SLB) in the same patient mounting handlebar is available.Methods.The diagnostic yield and safety data of TBLCs, as well as the result of SLB performed after

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New algorithm for OHSS prevention

Abstract Ovarian hyperstimulation syndrome (OHSS) still remains a life-threatening complication of in vitro fertilization treatment (IVF), keeping patients and especially those, who previously experienced OHSS, from attempting infertility treatment and childbearing.The recent implementation of four new modalities: the GnRH antagonist protocol, GnRH

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