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dc.contributor.author
Sanchez, María de Lourdes  
dc.contributor.author
Will, Adrian L. E.  
dc.contributor.author
Rodriguez, Andrea Paola  
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Gónzalez Salcedo, Luis O.  
dc.contributor.other
Srivastava, Rajshree  
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Kumar Mallick, Pradeep  
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Swarup Rautaray, Siddharth  
dc.contributor.other
Pandey, Manjusha  
dc.date.available
2023-06-06T18:43:37Z  
dc.date.issued
2021  
dc.identifier.citation
Sanchez, María de Lourdes; Will, Adrian L. E.; Rodriguez, Andrea Paola; Gónzalez Salcedo, Luis O.; A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction; De Gruyter; 1; 2021; 1-20  
dc.identifier.isbn
9783110648195  
dc.identifier.uri
http://hdl.handle.net/11336/199747  
dc.description.abstract
Artificial intelligence (AI) is changing, at a fast pace, all aspects of science, technology, and society in general, giving rise to what is known as the 4th Industrial Revolution. In this chapter, we review the literature regarding AI applications to bone tissue engineering, and more particularly, to cell adhesion in bone scaffolds. The works found are very few (only six works), and we classify them according to the AI technique used. The question we want to address in this chapter is what AI techniques were used and what exactly have they been used for. The chapter shows that the most used AI tools were the artificial neural network, in their different types, followed by cellular automata and multiagent systems. The intended use varies, but it is mainly related to understanding the variables involved and adjusting a model that provides insight and allows for a better and more informed design process of the scaffold.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
De Gruyter  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Bone tissue engineering  
dc.subject
Artificial intelligence  
dc.subject
Scaffolds  
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Cell adhesion  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2022-04-20T19:31:17Z  
dc.journal.volume
1  
dc.journal.pagination
1-20  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Sanchez, María de Lourdes. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Secretaría de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Will, Adrian L. E.. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Secretaría de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Rodriguez, Andrea Paola. Universidad Nacional de Tucumán. Facultad de Ciencias Exactas y Tecnología. Departamento de Bioingeniería. Laboratorio de Medios e Interfases; Argentina. Universidad Tecnológica Nacional. Facultad Regional Tucumán. Secretaría de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto Superior de Investigaciones Biológicas. Universidad Nacional de Tucumán. Instituto Superior de Investigaciones Biológicas; Argentina  
dc.description.fil
Fil: Gónzalez Salcedo, Luis O.. Universidad Nacional de Colombia; Colombia  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/document/doi/10.1515/9783110648195-001/html?lang=en  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1515/9783110648195-001  
dc.conicet.paginas
331  
dc.source.titulo
Computational Intelligence for Machine Learning and Healthcare Informatics