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Real-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices

hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
dc.contributor.authorALFARO, Iciar
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
dc.contributor.authorGONZALEZ, David
hal.structure.identifierInstitut de Recherche en Génie Civil et Mécanique [GeM]
dc.contributor.authorBORDEU, Felipe
hal.structure.identifierInstitut de Recherche en Génie Civil et Mécanique [GeM]
dc.contributor.authorLEYGUE, Adrien
hal.structure.identifierLaboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
dc.contributor.authorAMMAR, Amine
hal.structure.identifierInstitut de Recherche en Génie Civil et Mécanique [GeM]
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
dc.contributor.authorCUETO, Elías
hal.structure.identifierInstitut de Recherche en Génie Civil et Mécanique [GeM]
hal.structure.identifierInstitut universitaire de France [IUF]
dc.contributor.authorCHINESTA, Francisco
dc.date.accessioned2021-05-14T09:55:26Z
dc.date.available2021-05-14T09:55:26Z
dc.date.issued2014-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77693
dc.descriptionSimulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the operating room needs for fast methods that provide an accurate response in real time. To this end, Model Order Reduction (MOR) techniques have emerged recently in the field of Computational Surgery to help alleviate this burden. In this paper, we review the basics of classical MOR and explain how a technique recently developed by the authors and coined as Proper Generalized Decomposition could make real-time feedback available with the use of simple devices like smartphones or tablets. Examples are given on the performance of the technique for problems at different scales of the surgical procedure, form gene regulatory networks to macroscopic soft tissue deformation and cutting.
dc.description.abstractEnSimulation of all phenomena taking place in a surgical procedure is a formidable task that involves, when possible, the use of supercomputing facilities over long time periods. However, decision taking in the operating room needs for fast methods that provide an accurate response in real time. To this end, Model Order Reduction (MOR) techniques have emerged recently in the field of Computational Surgery to help alleviate this burden. In this paper, we review the basics of classical MOR and explain how a technique recently developed by the authors and coined as Proper Generalized Decomposition could make real-time feedback available with the use of simple devices like smartphones or tablets. Examples are given on the performance of the technique for problems at different scales of the surgical procedure, form gene regulatory networks to macroscopic soft tissue deformation and cutting.
dc.language.isoen
dc.subject.enModel Order Reduction
dc.subject.enGene regulatory networks
dc.subject.enSurgery simulation
dc.title.enReal-time in silico experiments on gene regulatory networks and surgery simulation on handheld devices
dc.typeArticle de revue
dc.identifier.doi10.1186/2194-3990-1-1
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale
bordeaux.journalJournal of Computational Surgery
bordeaux.page1-14
bordeaux.volume1
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01206921
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01206921v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Computational%20Surgery&rft.date=2014-01&rft.volume=1&rft.issue=1&rft.spage=1-14&rft.epage=1-14&rft.au=ALFARO,%20Iciar&GONZALEZ,%20David&BORDEU,%20Felipe&LEYGUE,%20Adrien&AMMAR,%20Amine&rft.genre=article


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