Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Riad Kahoul"'
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Akademický článek
Empirical methods for the validation of time-to-event mathematical models taking into account uncertainty and variability: application to EGFR + lung adenocarcinoma
Autor: Evgueni Jacob, Angélique Perrillat-Mercerot, Jean-Louis Palgen, Adèle L’Hostis, Nicoletta Ceres, Jean-Pierre Boissel, Jim Bosley, Claudio Monteiro, Riad Kahoul
Publikováno v: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background Over the past several decades, metrics have been defined to assess the quality of various types of models and to compare their performance depending on their capacity to explain the variance found in real-life data. However, avail
Externí odkaz: https://doaj.org/article/c6d6264f33964736972803ca1fa4a9c7
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2
Akademický článek
Knowledge-based mechanistic modeling accurately predicts disease progression with gefitinib in EGFR-mutant lung adenocarcinoma
Autor: Adèle L’Hostis, Jean-Louis Palgen, Angélique Perrillat-Mercerot, Emmanuel Peyronnet, Evgueni Jacob, James Bosley, Michaël Duruisseaux, Raphaël Toueg, Lucile Lefèvre, Riad Kahoul, Nicoletta Ceres, Claudio Monteiro
Publikováno v: npj Systems Biology and Applications, Vol 9, Iss 1, Pp 1-13 (2023)
Abstract Lung adenocarcinoma (LUAD) is associated with a low survival rate at advanced stages. Although the development of targeted therapies has improved outcomes in LUAD patients with identified and specific genetic alterations, such as activating
Externí odkaz: https://doaj.org/article/3e54093f844f49948535eddc19fa9f5f
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3
Akademický článek
Modeling the disruption of respiratory disease clinical trials by non-pharmaceutical COVID-19 interventions
Autor: Simon Arsène, Claire Couty, Igor Faddeenkov, Natacha Go, Solène Granjeon-Noriot, Daniel Šmít, Riad Kahoul, Ben Illigens, Jean-Pierre Boissel, Aude Chevalier, Lorenz Lehr, Christian Pasquali, Alexander Kulesza
Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
A computational mechanistic viral infection model and trial simulation advocates for adaptation of respiratory disease clinical trials whose chances of success and interpretability are being degraded under COVID-19 pandemic mitigation measures.
Externí odkaz: https://doaj.org/article/37c68ec1231844d3bb89463c45bc7ac0
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4
Akademický článek
Solving the Evidence Interpretability Crisis in Health Technology Assessment: A Role for Mechanistic Models?
Autor: Eulalie Courcelles, Jean-Pierre Boissel, Jacques Massol, Ingrid Klingmann, Riad Kahoul, Marc Hommel, Emmanuel Pham, Alexander Kulesza
Publikováno v: Frontiers in Medical Technology, Vol 4 (2022)
Health technology assessment (HTA) aims to be a systematic, transparent, unbiased synthesis of clinical efficacy, safety, and value of medical products (MPs) to help policymakers, payers, clinicians, and industry to make informed decisions. The evide
Externí odkaz: https://doaj.org/article/1e7b009820134255918cde935affaa5d
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5
Akademický článek
The global risk approach should be better applied in French hypertensive patients: a comparison between simulation and observation studies.
Autor: Ivanny Marchant, Patrice Nony, Michel Cucherat, Jean-Pierre Boissel, S Randall Thomas, Theodora Bejan-Angoulvant, Alexandra Laugerotte, Riad Kahoul, François Gueyffier
Publikováno v: PLoS ONE, Vol 6, Iss 3, p e17508 (2011)
BackgroundThe prediction of the public health impact of a preventive strategy provides valuable support for decision-making. International guidelines for hypertension management have introduced the level of absolute cardiovascular risk in the definit
Externí odkaz: https://doaj.org/article/b9d2b9a614dc4ba0a9a553f1dcc4345c
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8
Abstract 4287: The combination of statistical methods to compare observed and simulated data allowed to assess effectively the validity of mathematical model predictions in a context of a EGFR+ lung adenocarcinoma
Autor: Evgueni Jacob, Laura Villain, Nicoletta Ceres, Jean-Louis Palgen, Adele L'Hostis, Claudio Monteiro, Riad Kahoul
Publikováno v: Cancer Research. 83:4287-4287
Introduction In silico models proved to be a promising tool to complement and optimize clinical trials. These models should be validated to assess their capacity to reproduce real life behaviors. Opposed to real-life clinical trials where the amount
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ee9da0106a589d2242dc3918ba19a54
https://doi.org/10.1158/1538-7445.am2023-4287
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10
Abstract 3362: Multiscale EGFR mutated NSCLC tumor heterogeneity knowledge-based model predicts tumor growth under gefitinib: An avenue to in silico clinical trial
Autor: Michael Duruisseaux, Adèle L'Hostis, Emmanuel Peyronnet, Evgueni Jacob, Ben M.W. Illigens, Jim Bosley, Riad Kahoul, Jean-Louis Palgen, Claudio Monteiro
Publikováno v: Cancer Research. 82:3362-3362
Introduction: Non-small cell lung cancer (NSCLC) response to gefitinib depends on epidermal growth factor receptor (EGFR) mutational status. Response differs according to tumor heterogeneity, notably through clonal selection according to genetic back
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5441d5651156f72f24d8e362d75bf5ec
https://doi.org/10.1158/1538-7445.am2022-3362
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