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Results 2451-2460 of 2469 (Search time: 0.007 seconds).
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PreviewIssue DateTitleAuthor(s)
2012Maternal asthma is a significant contributor to neonatal morbidityHodyl, N.; Scheil, W.; Stark, M.; Clifton, V.; 59th Annual Scientific Meeting (21 Mar 2012 - 24 Mar 2012 : San Diego, CA)
2016Fixed or rotating night shift work undertaken by women: implications for fertility and miscarriageFernandez, R.; Marino, J.; Varcoe, T.; Davis, S.; Moran, L.; Rumbold, A.; Brown, H.; Whitrow, M.; Davies, M.; Moore, V.
2017Assisted reproductive technologies: a hierarchy of risks for conception, pregnancy outcomes and treatment decisionsDavies, M.; Rumbold, A.; Moore, V.
2010High-spatial resolution matrix-assisted laser desorption ionization imaging analysis of glucosylceramide in spleen sections from a mouse model of Gaucher DiseaseSnel, M.; Fuller, M.
2019Re-assessing microbiomes in the low-biomass reproductive nicheO'Callaghan, J.L.; Turner, R.; Dekker Nitert, M.; Barrett, H.L.; Clifton, V.; Pelzer, E.S.
2019First-line ovulation induction for polycystic ovary syndrome: an individual participant data meta-analysisWang, R.; Li, W.; Bordewijk, E.M.; Legro, R.S.; Zhang, H.; Wu, X.; Gao, J.; Morin-Papunen, L.; Homburg, R.; König, T.E.; Moll, E.; Kar, S.; Huang, W.; Johnson, N.P.; Amer, S.A.; Vegetti, W.; Palomba, S.; Falbo, A.; Özmen, Ü.; Nazik, H.; et al.
2016A meta-analysis of neonatal health outcomes from oocyte donationAdams, D.; Clark, R.; Davies, M.; de Lacey, S.
2018Postnatal depression in a community-based study of women with polycystic ovary syndromeMarch, W.; Whitrow, M.; Davies, M.; Fernandez, R.; Moore, V.
2019Neonatal head injuries: a prospective Paediatric Research in Emergency Departments International Collaborative cohort studyEapen, N.; Borland, M.; Phillips, N.; Kochar, A.; Dalton, S.; Cheek, J.; Gilhotra, Y.; Neutze, J.; Lyttle, M.; Donath, S.; Crowe, L.; Dalziel, S.; Oakley, E.; Williams, A.; Hearps, S.; Bressan, S.; Babl, F.
2012Neonatal protein kinase C zeta expression determines the neonatal T-Cell cytokine phenotype and predicts the development and severity of infant allergic diseaseD'Vaz, N.; Ma, Y.; Dunstan, J.; Lee-Pullen, T.; Hii, C.; Meldrum, S.; Zhang, G.; Metcalfe, J.; Ferrante, A.; Prescott, S.