A Machine Learning Model for Predicting Recurrent Pregnancy Loss: Retrospective Integration of Routine Serum IL-33, C-Reactive Protein, and Lymphocyte Subset Counts. [PDF]
Liu Q, Dong L.
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Mechanisms and Therapeutic Implications of Microbiome-Mediated Immune Dysregulation in Recurrent Pregnancy Loss and Implantation Failure. [PDF]
Bahia W +3 more
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Reprogramming the epigenetic profile improves the B regulatory cell function of patients with recurrent pregnancy loss. [PDF]
Ma F +8 more
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Multivariable AI-based analysis of immune-lifestyle patterns associated with recurrent pregnancy loss: an exploratory retrospective study. [PDF]
Dashti M +17 more
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Analysis of copy number variations and candidate genes in recurrent pregnancy loss. [PDF]
Wang L, Yang L, Li S, Liu X, Tang P.
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The process of recognition of previous learning is based on defined steps of identification, documentation, evaluation and certification and is completely compatible with the recommendations of European Training Foundation. As so, it can be easily adjusted as on-line process, as the communication to identify the necessary skills, submitting ...
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Immunomodulatory effects of primed amniotic fluid-derived mesenchymal stem/stromal cells with IFN-γ from unexplained recurrent miscarriage sources. [PDF]
Hoseini SM +8 more
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Poster Abstract: Opportunistic RPL
Sensor nodes constituting Wireless Sensor Networks (WSN) are often battery- operated and have limited resources. To save energy, nodes sleep most of the time, and wake up periodically to handle communication. Such radio duty cycling poses a basic trade-off between energy and latency.
Duquennoy, Simon, Landsiedel, Olaf
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From gut dysbiosis to decidual hostility: the immuno-metabolic crosstalk driving recurrent pregnancy loss. [PDF]
Shi Y, Tang X.
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Early intravenous immunoglobulin use improves live birth outcomes in women with recurrent pregnancy loss: a propensity score-matched cohort study. [PDF]
Xin W, Mu F, Wang K, Wang F.
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