Introduction: Deaf and hard of hearing (DHH) women are faced with numerous health inequities, including adverse pregnancy and birth outcomes. These outcomes are likely exacerbated for Black DHH women because of the intersection of disability and race. This study aimed to explore the pregnancy and birth experiences of Black DHH women to identify factors that influence their pregnancy outcomes.
View Article and Find Full Text PDFObjective: Women who are deaf experience higher rates of reproductive healthcare barriers and adverse birth outcomes compared with their peers who can hear. This study explores the pregnancy experiences of women who are deaf to better understand their barriers to and facilitators of optimal pregnancy-related health care.
Design: Qualitative study using thematic analysis.
Datenbank Spektrum
January 2022
To obtain accurate predictions of classifiers, model ensembles comprising multiple trained machine learning models are nowadays used. In particular, pick the most accurate model for each query object, by applying the model that performed best on similar data. Dynamic model ensembles may however suffer, similarly to single machine learning models, from bias, which can eventually lead to unfair treatment of certain groups of a general population.
View Article and Find Full Text PDFCell therapies have significant therapeutic potential in diverse fields including regenerative medicine, transplantation tolerance, and autoimmunity. Within these fields, regulatory T cells (Treg) have been deployed to ameliorate aberrant immune responses with great success. However, translation of the cryopreservation strategies employed for other cell therapy products, such as effector T cell therapies, to Treg therapies has been challenging.
View Article and Find Full Text PDFObjective: To perform risk factor analysis for the prediction of hyperbilirubinemia in an African American male neonatal cohort.
Study Design: A database of 500 previously published term and near-term African American male neonates was further analyzed to determine the role of risk factors for hyperbilirubinemia. Factors studied included birth weight >/=4.