Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Carol Lynn Curchoe"'
Autor:
Carol Lynn Curchoe
Publikováno v:
European Medical Journal Reproductive Health, Vol 6, Iss 1, Pp 85-91 (2020)
Infertility practitioners are increasingly turning to mobile applications (apps) to help improve patient care. Provider-facing apps range from reference to communication tools, to versions of the electronic health record. Some available evidence indi
Externí odkaz:
https://doaj.org/article/d1a2605c36704a2c9dd581e0958c1c80
Autor:
Carol Lynn Curchoe, Jochen Maurer, Sonja J McKeown, Giulio Cattarossi, Flavio Cimadamore, Mats Nilbratt, Evan Y Snyder, Marianne Bronner-Fraser, Alexey V Terskikh
Publikováno v:
PLoS ONE, Vol 5, Iss 11, p e13890 (2010)
Neural crest stem cells (NCSCs) are a transient multipotent embryonic cell population that represents a defining characteristic of vertebrates. The neural crest (NC) gives rise to many derivatives including the neurons and glia of the sensory and aut
Externí odkaz:
https://doaj.org/article/c119e561b10e41bbaf03987ac1ee1922
Autor:
Carol Lynn Curchoe, Charles Bormann, Elizabeth Hammond, Scarlett Salter, Claire Timlin, Lesley Blankenship Williams, Daniella Gilboa, Daniel Seidman, Alison Campbell, Dean Morbeck
Publikováno v:
Journal of Assisted Reproduction and Genetics. 40:265-278
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7c29bf6f79beaa17819dee47e9d89a9
https://doi.org/10.1007/s10815-023-02713-2
https://doi.org/10.1007/s10815-023-02713-2
Publikováno v:
Journal of Assisted Reproduction and Genetics. 40:223-234
Human infertility is a major global public health issue estimated to affect one out of six couples, while the number of assisted reproduction cycles grows impressively year over year. Efforts to alleviate infertility using advanced technology are gai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94c69e73a6f239e20ca9f6bc7d436a49
https://doi.org/10.1007/s10815-022-02708-5
https://doi.org/10.1007/s10815-022-02708-5
Autor:
Carol Lynn Curchoe
Publikováno v:
Fertility and Sterility.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::730f670707019b6a7b52a24234121155
https://doi.org/10.1016/j.fertnstert.2023.05.152
https://doi.org/10.1016/j.fertnstert.2023.05.152
Autor:
Carol Lynn Curchoe
Publikováno v:
Journal of assisted reproduction and genetics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2a18ea946254bb956a87951779da0ef
https://pubmed.ncbi.nlm.nih.gov/36598733
https://pubmed.ncbi.nlm.nih.gov/36598733
Autor:
Charles L. Bormann, Hadi Shafiee, Manoj Kumar Kanakasabapathy, Kaitlyn E. James, Lynn M. Boehnlein, Leslie B. Ramirez, Jason E. Swain, Irene Souter, Irene Dimitriadis, Victoria W. Fitz, H Kandula, P Thirumalaraju, Carol Lynn Curchoe
Publikováno v:
J Assist Reprod Genet
PURPOSE: A deep learning artificial intelligence (AI) algorithm has been demonstrated to outperform embryologists in identifying euploid embryos destined to implant with an accuracy of 75.3% (1). Our aim was to evaluate the performance of highly trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c509842e1d8f8b369eafec3baec7c32b
https://doi.org/10.1007/s10815-021-02318-7
https://doi.org/10.1007/s10815-021-02318-7
Publikováno v:
Journal of Assisted Reproduction and Genetics
The pros and cons of artificial intelligence in assisted reproductive technology are presented.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::748d63ca4130069eeef81da721680a26
https://doi.org/10.1007/s10815-021-02272-4
https://doi.org/10.1007/s10815-021-02272-4
Autor:
Carol Lynn, Curchoe
Publikováno v:
J Assist Reprod Genet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b2193d1a87c70f341136b3df56cd9b8
https://doi.org/10.1007/s10815-021-02391-y
https://doi.org/10.1007/s10815-021-02391-y
Publikováno v:
Journal of assisted reproduction and genetics. 39(11)
The SART CORS database is an informative source of IVF clinic-specific linked data that provides cumulative live birth rates from medically assisted reproduction in the United States (US). These data are used to develop best practice guidelines, for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc3bb4cc2bc8cdcb82092962fc21ebe
https://pubmed.ncbi.nlm.nih.gov/36269502
https://pubmed.ncbi.nlm.nih.gov/36269502