Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning.
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| Title: | Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. |
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| Authors: | Sikulu-Lord MT; School of the Environment, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia., Edstein MD; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia., Goh B; School of the Environment, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia., Lord AR; Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia., Travis JA; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia., Dowell FE; Center for Grain and Animal Health Research, USDA Agricultural Research Service, Manhattan, Kansas, United States of America., Birrell GW; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia., Chavchich M; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia. |
| Source: | PloS one [PLoS One] 2024 Mar 25; Vol. 19 (3), pp. e0289232. Date of Electronic Publication: 2024 Mar 25 (Print Publication: 2024). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38527002 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sikulu-Lord+MT%22">Sikulu-Lord MT</searchLink>; School of the Environment, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Edstein+MD%22">Edstein MD</searchLink>; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Goh+B%22">Goh B</searchLink>; School of the Environment, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Lord+AR%22">Lord AR</searchLink>; Centre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Travis+JA%22">Travis JA</searchLink>; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Dowell+FE%22">Dowell FE</searchLink>; Center for Grain and Animal Health Research, USDA Agricultural Research Service, Manhattan, Kansas, United States of America.<br /><searchLink fieldCode="AU" term="%22Birrell+GW%22">Birrell GW</searchLink>; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia.<br /><searchLink fieldCode="AU" term="%22Chavchich+M%22">Chavchich M</searchLink>; Department of Drug Evaluation, Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Queensland, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Mar 25; Vol. 19 (3), pp. e0289232. <i>Date of Electronic Publication: </i>2024 Mar 25 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38527002 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0289232 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0289232 Titles: – TitleFull: Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sikulu-Lord MT – PersonEntity: Name: NameFull: Edstein MD – PersonEntity: Name: NameFull: Goh B – PersonEntity: Name: NameFull: Lord AR – PersonEntity: Name: NameFull: Travis JA – PersonEntity: Name: NameFull: Dowell FE – PersonEntity: Name: NameFull: Birrell GW – PersonEntity: Name: NameFull: Chavchich M IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 03 Text: 2024 Mar 25 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 19 – Type: issue Value: 3 Titles: – TitleFull: PloS one Type: main |
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