Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/65781 |
Resumo: | The retina is a highly organized structure that is considered to be "an approachable part of the brain." It is attracting the interest of development scientists, as it provides a model neurovascular system. Over the last few years, we have been witnessing significant development in the knowledge of the mechanisms that induce the shape of the retinal vascular system, as well as knowledge of disease processes that lead to retina degeneration. Knowledge and understanding of how our vision works are crucial to creating a hardware-adaptive computational model that can replicate retinal behavior. The neuronal system is nonlinear and very intricate. It is thus instrumental to have a clear view of the neurophysiological and neuroanatomic processes and to take into account the underlying principles that govern the process of hardware transformation to produce an appropriate model that can be mapped to a physical device. The mechanistic and integrated computational models have enormous potential toward helping to understand disease mechanisms and to explain the associations identified in large model-free data sets. The approach used is modulated and based on different models of drug administration, including the geometry of the eye. This work aimed to review the recently used mathematical models to map a directed retinal network. |
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Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behaviorretinadrug deliveryretinal behaviorneurosciencecomputational modelsmathematical modelsScience & TechnologyThe retina is a highly organized structure that is considered to be "an approachable part of the brain." It is attracting the interest of development scientists, as it provides a model neurovascular system. Over the last few years, we have been witnessing significant development in the knowledge of the mechanisms that induce the shape of the retinal vascular system, as well as knowledge of disease processes that lead to retina degeneration. Knowledge and understanding of how our vision works are crucial to creating a hardware-adaptive computational model that can replicate retinal behavior. The neuronal system is nonlinear and very intricate. It is thus instrumental to have a clear view of the neurophysiological and neuroanatomic processes and to take into account the underlying principles that govern the process of hardware transformation to produce an appropriate model that can be mapped to a physical device. The mechanistic and integrated computational models have enormous potential toward helping to understand disease mechanisms and to explain the associations identified in large model-free data sets. The approach used is modulated and based on different models of drug administration, including the geometry of the eye. This work aimed to review the recently used mathematical models to map a directed retinal network.The authors acknowledge the financial support received from the Portuguese Science and Technology Foundation (FCT/MCT) and the European Funds (PRODER/COMPETE) for the project UIDB/04469/2020 (strategic fund), co-financed by FEDER, under the Partnership Agreement PT2020. The authors also acknowledge FAPESP – São Paulo Research Foundation, for the financial support for the publication of the article.info:eu-repo/semantics/publishedVersionMDPI AGUniversidade do MinhoSouto, Eliana B.Sanchez-Lopez, ElenaCampos, Joana R.da Ana, RaquelEspina, MartaGarcia, Maria L.Severino, PatríciaBatain, FernandoAlves, Thais F. R.Crescencio, Kessi M. M.Souto, Selma B.Chaud, Marco V.2020-06-212020-06-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/65781engSouto, Eliana; Sanchez-Lopez, Elena; Campos, Joana R.; da Ana, Raquel; Espina, Marta; Garcia, Maria L.; Severino, Patrícia; Batain, Fernando; Alves, Thais F. R.; Crescencio, Kessi M. M.; Souto, Selma B.; Chaud, Marco V., Retinal Drug Delivery: Rethinking Outcomes for the Efficient Replication of Retinal Behavior. Applied Sciences-Basel, 10(12), 4258, 20202076-341710.3390/app10124258http://www.mdpi.com/journal/applsciinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:12:43Zoai:repositorium.sdum.uminho.pt:1822/65781Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:04:40.138837Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
title |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
spellingShingle |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior Souto, Eliana B. retina drug delivery retinal behavior neuroscience computational models mathematical models Science & Technology |
title_short |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
title_full |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
title_fullStr |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
title_full_unstemmed |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
title_sort |
Retinal drug delivery: rethinking outcomes for the efficient replication of retinal behavior |
author |
Souto, Eliana B. |
author_facet |
Souto, Eliana B. Sanchez-Lopez, Elena Campos, Joana R. da Ana, Raquel Espina, Marta Garcia, Maria L. Severino, Patrícia Batain, Fernando Alves, Thais F. R. Crescencio, Kessi M. M. Souto, Selma B. Chaud, Marco V. |
author_role |
author |
author2 |
Sanchez-Lopez, Elena Campos, Joana R. da Ana, Raquel Espina, Marta Garcia, Maria L. Severino, Patrícia Batain, Fernando Alves, Thais F. R. Crescencio, Kessi M. M. Souto, Selma B. Chaud, Marco V. |
author2_role |
author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Souto, Eliana B. Sanchez-Lopez, Elena Campos, Joana R. da Ana, Raquel Espina, Marta Garcia, Maria L. Severino, Patrícia Batain, Fernando Alves, Thais F. R. Crescencio, Kessi M. M. Souto, Selma B. Chaud, Marco V. |
dc.subject.por.fl_str_mv |
retina drug delivery retinal behavior neuroscience computational models mathematical models Science & Technology |
topic |
retina drug delivery retinal behavior neuroscience computational models mathematical models Science & Technology |
description |
The retina is a highly organized structure that is considered to be "an approachable part of the brain." It is attracting the interest of development scientists, as it provides a model neurovascular system. Over the last few years, we have been witnessing significant development in the knowledge of the mechanisms that induce the shape of the retinal vascular system, as well as knowledge of disease processes that lead to retina degeneration. Knowledge and understanding of how our vision works are crucial to creating a hardware-adaptive computational model that can replicate retinal behavior. The neuronal system is nonlinear and very intricate. It is thus instrumental to have a clear view of the neurophysiological and neuroanatomic processes and to take into account the underlying principles that govern the process of hardware transformation to produce an appropriate model that can be mapped to a physical device. The mechanistic and integrated computational models have enormous potential toward helping to understand disease mechanisms and to explain the associations identified in large model-free data sets. The approach used is modulated and based on different models of drug administration, including the geometry of the eye. This work aimed to review the recently used mathematical models to map a directed retinal network. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-21 2020-06-21T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/65781 |
url |
http://hdl.handle.net/1822/65781 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Souto, Eliana; Sanchez-Lopez, Elena; Campos, Joana R.; da Ana, Raquel; Espina, Marta; Garcia, Maria L.; Severino, Patrícia; Batain, Fernando; Alves, Thais F. R.; Crescencio, Kessi M. M.; Souto, Selma B.; Chaud, Marco V., Retinal Drug Delivery: Rethinking Outcomes for the Efficient Replication of Retinal Behavior. Applied Sciences-Basel, 10(12), 4258, 2020 2076-3417 10.3390/app10124258 http://www.mdpi.com/journal/applsci |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI AG |
publisher.none.fl_str_mv |
MDPI AG |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132457079930880 |