Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success.
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| Title: | Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success. |
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| 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 |
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