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Št. zadetkov: 7
Grouped Graphical Granger Modeling Methods for Temporal Causal Modeling
Aurélie C. Lozano
Video in druga učna gradiva
Oznake: computer science;data mining;temporal & streams mining
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as "grouped graphical Granger modeling methods." Graphical Granger modeling uses graphical modeling techniques on time series data and invokes the notion of "Granger causality" to make assertio ...
Leto: 2009 Vir: videolectures.net
Spatial-Temporal Causal Modeling for Climate Change Attribution
Aurélie C. Lozano
Video in druga učna gradiva
Oznake: computer science;data mining;temporal & streams mining
Attribution of climate change to causal factors has been based predominantly on simulations using physical climate models, which have inherent limitations in describing such a complex and chaotic system. We propose an alternative, data centric, approach that relies on actual measurements of climate ...
Leto: 2009 Vir: videolectures.net
Fluorescence imaging agents in cancerology
Elisabeth Bellard, Laurent Paquereau, Vincent Ecochard, Muriel Golzio, Justin Teissie, Aurélie Paganin-Gioanni
Izvirni znanstveni članek
Oznake: rak (medicina);onkologija;diagnostika;slikovna diagnostika;
Leto: 2010 Vir: dLib.si Digitalna knjižnica Slovenije
Preliminary results on novel adjuvant combinations suggest enhanced immunogenicity of whole inactivated pandemic influenza vaccines
Allegra Pelettǎ, Aurélie Marmy, Samo Guzelj, Alcidia Ramos Barros, Žiga Jakopin, Gerrit Borchard
Izvirni znanstveni članek
Oznake: pandemic influenza vaccine;adjuvant;hybrid PLGA nanoparticle;tomatine saponin;NOD2 agonists;formulation;immunogenicity;
Due to the inherent risk of a further pandemic influenza outbreak, there is a need and growing interest in investigating combinations of prophylactic vaccines and novel adjuvants, particularly to achieve antigen dose sparing and improved immunogenicity. Influenza is a highly variable virus, where th ...
Leto: 2024 Vir: Fakulteta za farmacijo (UL FFA)
Poster session
Alexandre Lacoste , Nicolas Baskiotis , Stefan Kremer , Aurélie Boisbunon , Morteza Haghir Chehreghani , Yuri Grinberg , Amir-massoud Farahmand , Marina Sapir , Mohammad Ghavamzadeh , Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2011 Vir: videolectures.net
Selpercatinib in RET fusion-positive non-small-cell lung cancer (SIREN)
Oliver Illini, Maximilian J Hochmair, Hannah Fabikan, Christoph Weinlinger, Amanda Tufman, Aurélie Swalduz, Kristina Lamberg, Sayed M. S. Hashemi, Florian Huemer, Anders Vikström, Katja Mohorčič
Izvirni znanstveni članek
Oznake: podatki iz resničnega življenja;selperactinib;tarčna terapija;zaviralci tirozinskih kinaz;real-world data;selpercatinib;targeted therapy;tyrosine kinase inhibitor;
Introduction: Rearranged during transfection (RET) gene fusions are rare genetic drivers in non-small cell lung cancer (NSCLC). Selective RET-inhibitors such as selpercatinib have shown therapeutic activity in early clinical trials; however, their efficacy in the real-world setting is unknown. Metho ...
Leto: 2021 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Real-world experience with capmatinib in MET exon 14-mutated non-small cell lung cancer (RECAP)
Oliver Illini, Oliver Illini, Hannah Fabikan, Aurélie Swalduz, Anders Vikström, Dagmar Krenbek, Michael Schumacher, Elizabeth Dudnik, Michael Studnicka, Ronny Öhman, Robert Wurm, Tanja Čufer, Katja Mohorčič, Maximilian J Hochmair
Izvirni znanstveni članek
Oznake: podatki iz resničnega življenja;capmatinib;tarčna terapija;real-world data;targeted therapy;
Background: Patients with non-small cell lung cancer (NSCLC) presenting with mesenchymal–epithelial transition (MET) exon 14 skipping mutation have an unfavorable prognosis with standard treatments. Capmatinib is a selective MET inhibitor, which showed promising efficacy in this patient population i ...
Leto: 2022 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Št. zadetkov: 7
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