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An in silico clinical trial platform based on systems biology approaches

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dc.contributor.author Jorba Argemí, Guillem
dc.contributor.other Oliva Miguel, Baldomero
dc.contributor.other Manuel Mas, Jose
dc.contributor.other Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida
dc.date.accessioned 2024-03-16T02:33:20Z
dc.date.available 2024-03-16T02:33:20Z
dc.date.issued 2023-04-27T14:41:46Z
dc.date.issued 2023-04-27T14:41:46Z
dc.date.issued 2023-04-13
dc.identifier http://hdl.handle.net/10803/688163
dc.identifier.uri http://hdl.handle.net/10230/56604
dc.description.abstract El procés de descobriment i desenvolupament de fàrmacs (DDD) és costós tant econòmic com temporalment, i el qual resulta en nivells d'èxit molt reduïts. Una gran quantitat de compostos son analitzats i molts descartats en cada estadi mentre que, ja en fases d'assaigs clínics, només un 10% d'aquests acaben aprovats per les agències reguladores. Tot i que existeix un gran ventall d’eines bioinformàtiques per les fases inicials del DDD, poques opcions estan disponibles en fases posteriors, on s’hi inverteix una gran quantitat de temps i diners. Aquest fet és bàsicament degut a la complexitat existent en la parametrització d’assaigs clínics, on hi intervenen humans i fàrmacs, i on múltiples eines s’haurien de fusionar per simular la realitat. En aquesta tesi, descric una nova metodologia per realitzar assaigs clínics in silico (ISCTs), basats en biologia de sistemes, amb l’objectiu d'assistir en el procés de desenvolupament de fàrmacs. Aquesta eina usa pacients virtuals, pel que ajudarà també a moure’s cap a una medicina personalitzada o individualitzada.
dc.description.abstract Drug discovery and development (DDD) is a time consuming and expensive process with low rates of success. A big amount of drug candidates are tested and discarded in each phase and, in clinical trial phases, only about 10% of those are finally approved by regulatory agencies. While many bioinformatic tools are available at early stages of DDD, few options have been approved for posterior phases, where most investment and time is required. This is mainly because of the complexity inherent in clinical trials setting, where human cohorts are being tested with a drug, meaning that multiple tools must be merged in order to fully match reality, or have enough predictability. In this thesis, I describe a novel methodology to undergo in silico Clinial Trials (ISCTs), based on a Systems Biology approach, with the aim of assisting drug development process. It uses virtual patient populations, which will also help shifting towards individualized, personalized medicine.
dc.description.abstract Programa de doctorat en Biomedicina
dc.format 246 p.
dc.format application/pdf
dc.language.iso eng
dc.publisher Universitat Pompeu Fabra
dc.rights L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/4.0/
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.rights info:eu-repo/semantics/openAccess
dc.source TDX (Tesis Doctorals en Xarxa)
dc.title An in silico clinical trial platform based on systems biology approaches
dc.type info:eu-repo/semantics/doctoralThesis
dc.type info:eu-repo/semantics/publishedVersion
dc.date.modified 2024-03-15T10:57:28Z
dc.subject.keyword assaig clínic in silico
dc.subject.keyword farmacologia de sistemes quantitativa
dc.subject.keyword biologia de sistemes
dc.subject.keyword pacients virtuals
dc.subject.keyword in silico Clinical Trial (ISCT)
dc.subject.keyword quantitative systems pharmacology (QSP)
dc.subject.keyword systems biology
dc.subject.keyword virtual patients (VPs)
dc.subject.keyword 577


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