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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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rank models [Sportisse et al., 2020], random forests [Stekhoven and Buhlmann, 2012] or deep learning techniques with variational autoencoders [Mattei and Frellsen, 2019, Ipsen et al., 2021]. One
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) models. Little attention has been paid to other models like graph NNs (GNNs) or PCA. Among the few existing works in the literature, [2] proposes an FL algorithm to compute PCA in a DP fashion, but the
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deficient genetic models (using genetic models of DC deficiency available in the lab: Xcr1DTA ; pDCDTA ; Mgl2DTA ). MHCI and MHCII-peptide tetramer assays will be implemented to identify vaccine-specific T
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within a coherent computational model is currently challenging, due to the typical large dimension and complexity of biomedical data, and the relative low sample size available in typical clinical studies
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, ranging from biological to clinical features. The integration of such heterogeneous information within a coherent computational model is currently challenging, due to the typical large dimension and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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cycle progression in a preclinical model. Gut. 2022;71(11). Lesur A, Schmit PO, Bernardin F, et al. Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF. Anal Chem. 2021;93(3) Key Skills
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biology with computer science, mathematics, chemistry, and physics. Research carried out within DYNABIO teams spans a wide range of biological models and addresses fundamental questions in biological