Review of flow cytometry findings and associated scoring approaches for identifying myelodysplastic syndrome and the future role of machine learning in improving the diagnostic algorithm.
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| Title: | Review of flow cytometry findings and associated scoring approaches for identifying myelodysplastic syndrome and the future role of machine learning in improving the diagnostic algorithm. |
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| Authors: | Demko N; Department of Anatomical Pathology, McGill University Health Center, Montréal, Québec, Canada.; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, United States., Geyer JT; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, United States., Simonson PD; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States. |
| Source: | American journal of clinical pathology [Am J Clin Pathol] 2026 Jan 22; Vol. 165 (1). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0370470 Publication Model: Print Cited Medium: Internet ISSN: 1943-7722 (Electronic) Linking ISSN: 00029173 NLM ISO Abbreviation: Am J Clin Pathol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41441774 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Review of flow cytometry findings and associated scoring approaches for identifying myelodysplastic syndrome and the future role of machine learning in improving the diagnostic algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Demko+N%22">Demko N</searchLink>; Department of Anatomical Pathology, McGill University Health Center, Montréal, Québec, Canada.; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Geyer+JT%22">Geyer JT</searchLink>; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Simonson+PD%22">Simonson PD</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220370470%22">American journal of clinical pathology</searchLink> [Am J Clin Pathol] 2026 Jan 22; Vol. 165 (1). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0370470 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1943-7722 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029173%22">00029173 </searchLink><i>NLM ISO Abbreviation: </i>Am J Clin Pathol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41441774 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/ajcp/aqaf136 Languages: – Code: eng Text: English Titles: – TitleFull: Review of flow cytometry findings and associated scoring approaches for identifying myelodysplastic syndrome and the future role of machine learning in improving the diagnostic algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Demko N – PersonEntity: Name: NameFull: Geyer JT – PersonEntity: Name: NameFull: Simonson PD IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 01 Text: 2026 Jan 22 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1943-7722 Numbering: – Type: volume Value: 165 – Type: issue Value: 1 Titles: – TitleFull: American journal of clinical pathology Type: main |
| ResultId | 1 |
