Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.

Saved in:
Bibliographic Details
Title: Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.
Authors: Ho C; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.; School of Public Health, Imperial College London, London, UK., Puthur C; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Nabatte B; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda., Moore CP; Department of Chemistry, Vanderbilt University, Nashville, TN, USA.; Task Force for Global Health, Atlanta, GA, USA., Abdoel T; Mondial Diagnostics, Amsterdam, The Netherlands., Paulussen R; Mondial Diagnostics, Amsterdam, The Netherlands., Nganjimi P; Department of Engineering Science, University of Oxford, Oxford, UK., Hoekstra PT; Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands., Kabatereine NB; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda., Kawesa B; Mayuge District Local Government, Uganda Ministry of Health, Mayuge, Uganda., Odea J; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda., Bogere R; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda., Katushabe R; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda., van Dam GJ; Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands., Scherr TF; Department of Chemistry, Vanderbilt University, Nashville, TN, USA., Chami GF; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. goylette.chami@ndph.ox.ac.uk.
Source: Nature communications [Nat Commun] 2026 May 18. Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42144397
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ho+C%22">Ho C</searchLink>; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.; School of Public Health, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Puthur+C%22">Puthur C</searchLink>; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Nabatte+B%22">Nabatte B</searchLink>; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Moore+CP%22">Moore CP</searchLink>; Department of Chemistry, Vanderbilt University, Nashville, TN, USA.; Task Force for Global Health, Atlanta, GA, USA.<br /><searchLink fieldCode="AU" term="%22Abdoel+T%22">Abdoel T</searchLink>; Mondial Diagnostics, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Paulussen+R%22">Paulussen R</searchLink>; Mondial Diagnostics, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Nganjimi+P%22">Nganjimi P</searchLink>; Department of Engineering Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Hoekstra+PT%22">Hoekstra PT</searchLink>; Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Kabatereine+NB%22">Kabatereine NB</searchLink>; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Kawesa+B%22">Kawesa B</searchLink>; Mayuge District Local Government, Uganda Ministry of Health, Mayuge, Uganda.<br /><searchLink fieldCode="AU" term="%22Odea+J%22">Odea J</searchLink>; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Bogere+R%22">Bogere R</searchLink>; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22Katushabe+R%22">Katushabe R</searchLink>; Division of Vector Borne Diseases and Neglected Tropical Diseases, Uganda Ministry of Health, Kampala, Uganda.<br /><searchLink fieldCode="AU" term="%22van+Dam+GJ%22">van Dam GJ</searchLink>; Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Scherr+TF%22">Scherr TF</searchLink>; Department of Chemistry, Vanderbilt University, Nashville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Chami+GF%22">Chami GF</searchLink>; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. goylette.chami@ndph.ox.ac.uk.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2026 May 18. <i>Date of Electronic Publication: </i>2026 May 18.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42144397
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41467-026-73094-0
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ho C
      – PersonEntity:
          Name:
            NameFull: Puthur C
      – PersonEntity:
          Name:
            NameFull: Nabatte B
      – PersonEntity:
          Name:
            NameFull: Moore CP
      – PersonEntity:
          Name:
            NameFull: Abdoel T
      – PersonEntity:
          Name:
            NameFull: Paulussen R
      – PersonEntity:
          Name:
            NameFull: Nganjimi P
      – PersonEntity:
          Name:
            NameFull: Hoekstra PT
      – PersonEntity:
          Name:
            NameFull: Kabatereine NB
      – PersonEntity:
          Name:
            NameFull: Kawesa B
      – PersonEntity:
          Name:
            NameFull: Odea J
      – PersonEntity:
          Name:
            NameFull: Bogere R
      – PersonEntity:
          Name:
            NameFull: Katushabe R
      – PersonEntity:
          Name:
            NameFull: van Dam GJ
      – PersonEntity:
          Name:
            NameFull: Scherr TF
      – PersonEntity:
          Name:
            NameFull: Chami GF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 05
              Text: 2026 May 18
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2041-1723
          Titles:
            – TitleFull: Nature communications
              Type: main
ResultId 1