Imperial College London

ProfessorPhillipBennett

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Clinical Professor
 
 
 
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Contact

 

+44 (0)20 7594 2176p.bennett

 
 
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Assistant

 

Miss Kiran Dosanjh +44 (0)20 7594 2176

 
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Location

 

Hammersmith HospitalHammersmith Campus

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Summary

 

Summary

Phillip Bennett is Professor of Obstetrics and Gynaecology and Director of the Institute of Reproductive and Developmental Biology. He also directs (together with David MacIntyre and Lynne Sykes) the March of Dimes European Preterm Birth Research Centre at Imperial and (together with Tom Bourne) the Tommy's National Miscarriage Research Centre at Imperial.

Phillip Bennett's principal research interests are the microbiology, biochemistry and endocrinology of pregnancy, human term and preterm labour, and the stratification, prediction and prevention of miscarriage and preterm birth. 


Qualifications and Fellowships 

  • BSc (First Class Honours, St Georges Hospital Medical School, University of London) 1979
  • MBBS (St Georges Hospital Medical School, University of London) 1982
  • MD (Prostaglandin Biochemistry and Human Parturition, Royal Postgraduate Medical School, University of London) 1988
  • MRCOG 1988
  • PhD 1993 (Molecular Biology, Royal Postgraduate Medical School, University of London)
  • FRCOG 2000
  • FMCOG (Honorary Fellow Maltese College Obstetricians and Gynaecologists) 2006
  • FMedSci (Fellow Academy of Medical Sciences) 2017
  • Honorary Fellow American Gynecologic and Obstetrical Society 2018
  • FRSB (Fellow Royal Society of Biology) 2020

Publications

Journals

Odendaal J, Black N, Bennett P, et al., 2024, The endometrial microbiota and early pregnancy loss, Human Reproduction, Vol:39, ISSN:0268-1161, Pages:638-646

Mowla S, Farahani L, Tharakan T, et al., 2024, Characterisation and comparison of semen microbiota and sperm function in men with infertility, recurrent miscarriage, or proven fertility, Elife, ISSN:2050-084X

Golob JL, Oskotsky TT, Tang AS, et al., 2024, Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research, Cell Reports Medicine, Vol:5, ISSN:2666-3791

Al-Memar M, Fourie H, Vaulet T, et al., 2024, Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability., Eur J Obstet Gynecol Reprod Biol, Vol:292, Pages:187-193

Conference

Gimeno-Molina B, Bayar E, Mountain K, et al., 2023, The role of cervical neutrophils in cervicovaginal inflammation in women at high-risk of delivering preterm, 12th International Workshop Reunion Island Reproductive Immunology, Immunological tolerance and Immunology of preeclampsia, ELSEVIER IRELAND LTD, Pages:31-31, ISSN:0165-0378

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