Habara T

No ORCID on file · 9 papers in corpus
observational 2026
Reproductive medicine and biology ·doi:10.1002/rmb2.70032

PurposeTo estimate the prevalence and correlates of low serum 25-hydroxyvitamin D [25(OH)D] among women attending infertility clinics in Japan.MethodsWe conducted a multicenter cross-sectional study of 17 261 women with measured 25(OH)D. De…

other 2025
Reproductive medicine and biology ·doi:10.1002/rmb2.12634

PURPOSE: To evaluate the impact of Endometrial Microbiome Metagenomic Analysis and Analysis of Infectious Chronic Endometritis (EMMA & ALICE) on pregnancy outcomes following recommended treatments in women with recurrent implantation failur…

diagnostic-accuracy 2024
Reproductive medicine and biology ·doi:10.1002/rmb2.12612

PURPOSE: To investigate the usefulness of an original dual artificial intelligence (AI) system, in which the first AI system eliminates the background of sliced tomographic blastocyst images, then the second AI system predicts implantation …

observational 2022
Reproductive medicine and biology ·doi:10.1002/rmb2.12462

PurposeThis study aimed to analyze whether tripronuclear (3PN) zygotes, with two normal-sized PNs and an additional smaller PN (2.1PN), can be used for embryo transfer.MethodsA retrospective embryo cohort study was conducted on 695 patients…

observational 2020
Reproductive medicine and biology ·doi:10.1002/rmb2.12305

PURPOSE: This study aimed to analyze whether the presence of refractile bodies (RFs) negatively affects fertilization, embryo development, and/or implantation rates following intracytoplasmic sperm injection (ICSI). METHODS: This retrospec…

other 2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12267

PURPOSE: To make the artificial intelligence (AI) classifiers of the image of the blastocyst implanted later in order to predict the probability of achieving live birth. METHODS: A system for using the machine learning approaches, which ar…

other 2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12266

PURPOSE: To identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) ev…

other 2019
Reproductive medicine and biology ·doi:10.1002/rmb2.12284

PURPOSE: To identify the multivariate logistic regression in a combination (combination method) involving artificial intelligence (AI) classifiers in images of blastocysts along with a conventional embryo evaluation (CEE) to predict the pro…

other 2000
Human Reproduction ·doi:10.1093/humrep/15.12.2512

Because overproduction of nitric oxide (NO) and peroxynitrite is known to cause tissue injury, the expression of NO synthases (NOS) and generation of peroxynitrite were investigated in adenomyosis. Immunoreactivities to endothelial and indu…