Publication:
Smart materials: rational design in biosystems via artificial intelligence

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dc.contributor.coauthorSağdıç, Kutay
dc.contributor.coauthorEs, İsmail
dc.contributor.coauthorİnci, Fatih
dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.kuauthorSitti, Metin
dc.contributor.kuprofileFaculty Member
dc.contributor.schoolcollegeinstituteSchool of Medicine
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid297104
dc.date.accessioned2024-11-09T23:34:52Z
dc.date.issued2022
dc.description.abstractIndustry 4.0 encompasses a new industrial revolution in which advanced manufacturing systems are interconnected with information technologies. These sophisticated data-gathering technologies have led to a shift toward smarter manufacturing processes involving the use of smart materials (SMs). The properties of SMs make them highly attractive for numerous biomedical applications. The integration of artificial intelligence (AI) enables them to be effectively used in the design of novel biomedical platforms to overcome shortcomings in the current biotechnology industry. This review summarizes recent advances in AI-assisted SMs for different healthcare products. The current challenges and future perspectives of AI-supported smart biosystems are also discussed, particularly with the regard to their applications in drug design, biosensors, theranostics, and electronic skins.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue8
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) 2232 International Fellowship for Outstanding Researchers [118C254]
dc.description.sponsorshipTurkish Academy of Sciences Outstanding Young Scientists Award Program (TUBA-GEBIP)
dc.description.sponsorshipTUBITAK2232 Project [118C254]
dc.description.sponsorshipTUBITAK
dc.description.sponsorshipTUBITAK1001 Scientific and Technological Research Projects Funding Program [120Z445]
dc.description.sponsorshipYoung Scientist Awards Program (BAGEP) award from the Science Academy F.I. gratefully acknowledges support from the Scientific and Technological Research Council of Turkey (TUBITAK) 2232 International Fellowship for Outstanding Researchers (Project No: 118C254) and the Turkish Academy of Sciences Outstanding Young Scientists Award Program (TUBA-GEBIP). I.E. also thanks the support from TUBITAK2232 Project (Project No: 118C254). However, the entire responsibility of the publication/article belongs to the owner of the publication/article. The financial support received from TUBITAKdoes not mean that the content of the publication is approved in a scientific sense by TUBITAK. K.S. and F.I also thank the TUBITAK1001 Scientific and Technological Research Projects Funding Program (Project No: 120Z445) for support. This work was also supported by the Young Scientist Awards Program (BAGEP) award from the Science Academy.
dc.description.volume40
dc.identifier.doi10.1016/j.tibtech.2022.01.005
dc.identifier.eissn1879-3096
dc.identifier.issn0167-7799
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85125462565
dc.identifier.urihttp://dx.doi.org/10.1016/j.tibtech.2022.01.005
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12429
dc.identifier.wos880111500007
dc.keywordsGraphene quantum dots
dc.keywordsNeural-network
dc.keywordsTechnologies
dc.keywordsPrediction
dc.keywordsCancer
dc.keywordsChallenges
dc.keywordsRelease
dc.keywordsSkin
dc.languageEnglish
dc.publisherElsevier Science London
dc.sourceTrends In Biotechnology
dc.subjectBiotechnology applied microbiology
dc.titleSmart materials: rational design in biosystems via artificial intelligence
dc.typeReview
dspace.entity.typePublication
local.contributor.authorid0000-0001-8249-3854
local.contributor.kuauthorSitti, Metin
relation.isOrgUnitOfPublicationba2836f3-206d-4724-918c-f598f0086a36
relation.isOrgUnitOfPublication.latestForDiscoveryba2836f3-206d-4724-918c-f598f0086a36

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