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Smartphone and wearable diagnostics

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dc.contributor.departmentKUIS AI (Koç University & İş Bank Artificial Intelligence Center)
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentKUAR (KU Arçelik Research Center for Creative Industries)
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorTaşoğlu, Savaş
dc.contributor.kuauthorÖzdalgıç, Berin
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2025-01-19T10:33:27Z
dc.date.issued2023
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue5
dc.description.openaccessBronze
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipS.T. acknowledges Tubitak 2232 International Fellowship for Outstanding Researchers Award (118C391), Alexander von Humboldt Research Fellowship for Experienced Researchers, Marie Sklodowska-Curie Individual Fellowship (101003361), and Royal Academy Newton-Katip Celebi Transforming Systems Through Partnership award (120N019) for financial support of this research. This work was partially supported by Science Academy's Young Scientist Awards Program (BAGEP), Outstanding Young Scientists Awards (GEBIP), and Bilim Kahramanlari Dernegi The Young Scientist Award. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the TUBITAK.
dc.description.volume23
dc.identifier.doi10.1080/14737159.2023.2203817
dc.identifier.eissn1744-8352
dc.identifier.issn1473-7159
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85153343642
dc.identifier.urihttps://doi.org/10.1080/14737159.2023.2203817
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26599
dc.identifier.wos975052600001
dc.keywordsArtificial intelligence
dc.keywordsDiagnostics
dc.keywordsHealth care
dc.keywordsSmartphones
dc.keywordsWearable biosensors
dc.language.isoeng
dc.publisherTaylor and Francis Inc
dc.relation.grantnoTubitak 2232 International Fellowship for Outstanding Researchers Award [118C391]; Marie Sklodowska-Curie Individual Fellowship [101003361]; Royal Academy Newton-Katip Celebi Transforming Systems Through Partnership award [120N019]; Science Academy's Young Scientist Awards Program (BAGEP), Outstanding Young Scientists Awards (GEBIP); Bilim Kahramanlari Dernegi The Young Scientist Award; Alexander von Humboldt Research Fellowship
dc.relation.ispartofExpert Review of Molecular Diagnostics
dc.subjectPathology
dc.titleSmartphone and wearable diagnostics
dc.typeOther
dc.type.otherEditorial
dspace.entity.typePublication
local.contributor.kuauthorTaşoğlu, Savaş
local.contributor.kuauthorÖzdalgıç, Berin
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1Research Center
local.publication.orgunit2Department of Mechanical Engineering
local.publication.orgunit2KUIS AI (Koç University & İş Bank Artificial Intelligence Center)
local.publication.orgunit2KUAR (KU Arçelik Research Center for Creative Industries)
local.publication.orgunit2Graduate School of Sciences and Engineering
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