Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success.
Saved in:
| Title: | Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success. |
|---|---|
| Authors: | Bar O; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA. ofri.bar@mail.huji.ac.il.; Department of Microbiology and Molecular Genetics, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. ofri.bar@mail.huji.ac.il.; Harvard Medical School, Boston, MA, USA. ofri.bar@mail.huji.ac.il., Vagios S; Department of Obstetrics & Gynecology, Tufts University Medical Center, Boston, MA, USA., Barkai O; Harvard Medical School, Boston, MA, USA.; F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA.; Department of Neurobiology, Harvard Medical School, Boston, MA, USA., Elshirbini J; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA., Souter I; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA., Xu J; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA., James K; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA., Bormann C; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA., Mitsunami M; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA., Chavarro JE; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA.; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA., Foessleitner P; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria., Kwon DS; Harvard Medical School, Boston, MA, USA.; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA.; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA., Yassour M; Department of Microbiology and Molecular Genetics, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.; The Rachel and Selim Benin School of Computer Science and Engineering, Hebrew University of Jerusalem, Jerusalem, Israel., Mitchell C; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA. |
| Source: | NPJ biofilms and microbiomes [NPJ Biofilms Microbiomes] 2025 Jun 05; Vol. 11 (1), pp. 95. Date of Electronic Publication: 2025 Jun 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: United States NLM ID: 101666944 Publication Model: Electronic Cited Medium: Internet ISSN: 2055-5008 (Electronic) Linking ISSN: 20555008 NLM ISO Abbreviation: NPJ Biofilms Microbiomes Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40473637 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bar+O%22">Bar O</searchLink>; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA. ofri.bar@mail.huji.ac.il.; Department of Microbiology and Molecular Genetics, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. ofri.bar@mail.huji.ac.il.; Harvard Medical School, Boston, MA, USA. ofri.bar@mail.huji.ac.il.<br /><searchLink fieldCode="AU" term="%22Vagios+S%22">Vagios S</searchLink>; Department of Obstetrics & Gynecology, Tufts University Medical Center, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Barkai+O%22">Barkai O</searchLink>; Harvard Medical School, Boston, MA, USA.; F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA.; Department of Neurobiology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Elshirbini+J%22">Elshirbini J</searchLink>; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Souter+I%22">Souter I</searchLink>; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22James+K%22">James K</searchLink>; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Bormann+C%22">Bormann C</searchLink>; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Mitsunami+M%22">Mitsunami M</searchLink>; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Chavarro+JE%22">Chavarro JE</searchLink>; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Harvard Medical School, Massachusetts General Hospital Fertility Center, Boston, MA, USA.; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Foessleitner+P%22">Foessleitner P</searchLink>; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Division of Obstetrics and Feto-Maternal Medicine, Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Kwon+DS%22">Kwon DS</searchLink>; Harvard Medical School, Boston, MA, USA.; Ragon Institute of MGH, MIT, and Harvard, Massachusetts General Hospital, Cambridge, MA, USA.; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Yassour+M%22">Yassour M</searchLink>; Department of Microbiology and Molecular Genetics, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.; The Rachel and Selim Benin School of Computer Science and Engineering, Hebrew University of Jerusalem, Jerusalem, Israel.<br /><searchLink fieldCode="AU" term="%22Mitchell+C%22">Mitchell C</searchLink>; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101666944%22">NPJ biofilms and microbiomes</searchLink> [NPJ Biofilms Microbiomes] 2025 Jun 05; Vol. 11 (1), pp. 95. <i>Date of Electronic Publication: </i>2025 Jun 05. – 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+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101666944 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2055-5008 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220555008%22">20555008 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Biofilms Microbiomes <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40473637 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41522-025-00732-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 95 Titles: – TitleFull: Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bar O – PersonEntity: Name: NameFull: Vagios S – PersonEntity: Name: NameFull: Barkai O – PersonEntity: Name: NameFull: Elshirbini J – PersonEntity: Name: NameFull: Souter I – PersonEntity: Name: NameFull: Xu J – PersonEntity: Name: NameFull: James K – PersonEntity: Name: NameFull: Bormann C – PersonEntity: Name: NameFull: Mitsunami M – PersonEntity: Name: NameFull: Chavarro JE – PersonEntity: Name: NameFull: Foessleitner P – PersonEntity: Name: NameFull: Kwon DS – PersonEntity: Name: NameFull: Yassour M – PersonEntity: Name: NameFull: Mitchell C IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 06 Text: 2025 Jun 05 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2055-5008 Numbering: – Type: volume Value: 11 – Type: issue Value: 1 Titles: – TitleFull: NPJ biofilms and microbiomes Type: main |
| ResultId | 1 |