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Riccardo De Santis on Muck Rack

Riccardo De Santis

As seen in: MDPI, Taylor & Francis Online, BioRxiv, Cell Stem Cell, Cell Press, Stem Cell Reports, TV Sorrisi e Canzoni, ArtsLife
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Articles

Detection and Serotyping of Dengue Virus by Single-Plex Multicolor Real Time RT-qPCR

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By Filippo Moramarco, Riccardo De Santis, Giovanni Faggioni, Emiliana Luciano
| Preprints.org
Submitted: 10 December 2025 You are already at the latest version Dengue remains one of the most significant tropical diseases, with its geographic range continuing to expand. The etiological agent of the disease is dengue virus, a term that groups four closely related viruses defined as serotypes. The four dengue virus serotypes elicit distinct serological responses, and their replacement or co-circulation in endemic regions can result in major outbreaks.
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Crosstalk between tissue mechanics and BMP4 signaling regulates symmetry breaking in human gastrula models

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By Riccardo De Santis, Laurent Jutras-Dubé, Eleni Rice, Francesco Piccolo, Ali H. Brivanlou, Sophia Bourdrel
| Cell Stem Cell Verified
Keywords stem cell models optogenetics BMP4 gastrulation self-organization YAP1 mechanics mechanochemical Get full text access Log in, subscribe or purchase for full access. References 1. Arnold, S.J. ∙ Robertson, E.J. Making a commitment: cell lineage allocation and axis patterning in the early mouse embryo Nat. Rev. Mol. Cell Biol. 2009; 10:91-103 2. Solnica-Krezel, L. ∙ Sepich, D.S. Gastrulation: Making and Shaping Germ Layers Annu. Rev. Cell Dev. Biol. 2012; 28:687-717 3. Ghimire, S. ∙ Mantziou, V.
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Inference in generalized linear models with robustness to misspecified variances

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By Samuel Davenport, Jesse Hemerik, Riccardo De Santis, Jelle J Goeman
| Taylor & Francis Online
Advanced search Journal of the American Statistical Association Latest Articles Submit an article Journal homepage Full Article Figures & data References Supplemental Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/01621459.2025.2491775?needAccess=true Accepted author version Abstract Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice.
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