AI Article Synopsis
Article Abstract
Reproductive medicine has depended upon the altruistic motivations of women to donate eggs. Donors are lauded for these self-sacrificing actions but are treated as a product during the selection and donation process. This process highlights the contradictory behaviors as evidence to the dichotomous split of the definition of women as "virgins" or "whores," by attracting women to donate as the former and treating them as the latter.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10410236.2017.1358242 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
STING in cancer immunoediting: Modeling tumor-immune dynamics throughout cancer development.
Cancer Lett
January 2025
Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, Harbin 150001, People's Republic of China; Department of Pathology, Harbin Medical University, Harbin, 150081, People's Republic of China. Electronic address:
Cancer immunoediting is a dynamic process of tumor-immune system interaction that plays a critical role in cancer development and progression. Recent studies have highlighted the importance of innate signaling pathways possessed by both cancer cells and immune cells in this process. The STING molecule, a pivotal innate immune signaling molecule, mediates DNA-triggered immune responses in both cancer cells and immune cells, modulating the anti-tumor immune response and shaping the efficacy of immunotherapy.
View Article and Find Full Text PDFRecent Origin of a Range-Restricted Species With Subsequent Introgression in its Widespread Congener in the Phyteuma spicatum Group (Campanulaceae).
Mol Ecol
February 2025
Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.
Understanding the causes of restricted geographic distributions is of major interest to evolutionary and conservation biologists. Inferring historical factors has often relied on ad hoc interpretations of genetic data, and hypothesis testing within a statistical framework under different demographic scenarios remains underutilised. Using coalescent modelling on RAD-sequencing data, we (i) test hypotheses about the origin of Phyteuma gallicum (Campanulaceae), a range-restricted endemic of central France sympatric with its widespread congener Ph.
View Article and Find Full Text PDFThe use of cloud based machine learning to predict outcome in intracerebral haemorrhage without explicit programming expertise.
Neurosurg Rev
December 2024
Neurosurgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India.
Machine Learning (ML) techniques require novel computer programming skills along with clinical domain knowledge to produce a useful model. We demonstrate the use of a cloud-based ML tool that does not require any programming expertise to develop, validate and deploy a prognostic model for Intracerebral Haemorrhage (ICH). The data of patients admitted with Spontaneous Intracerebral haemorrhage from January 2015 to December 2019 was accessed from our prospectively maintained hospital stroke registry.
View Article and Find Full Text PDFDevelopment of a prognostic signature for overall survival using peripheral blood biomarkers in head and neck squamous cell carcinoma treated with immune checkpoint inhibitors.
BMC Cancer
November 2024
Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA, 98109, USA.
Background: We previously reported in recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) treated with immune checkpoint inhibitors (ICIs), pretreatment higher lactate dehydrogenase (LDH) and absolute (abx) neutrophils as well as lower percent (%) lymphocytes correlated with worse overall survival (OS). In this study we aimed to develop a prognostic signature for HNSCC treated with ICIs using these peripheral blood biomarkers (PBBMs).
Methods: Adults with R/M HNSCC treated with ICIs at our institution from 08/2012 to 03/2021 with pretreatment PBBMs were included.
A two-stage deep-learning model for determination of the contact of mandibular third molars with the mandibular canal on panoramic radiographs.
BMC Oral Health
November 2024
Clinic for Conservative Dentistry and Periodontology, University Hospital of the Ludwig-Maximilians- University Munich, Munich, Germany.
Objectives: This study aimed to assess the accuracy of a two-stage deep learning (DL) model for (1) detecting mandibular third molars (MTMs) and the mandibular canal (MC), and (2) classifying the anatomical relationship between these structures (contact/no contact) on panoramic radiographs.
Method: MTMs and MCs were labeled on panoramic radiographs by a calibrated examiner using bounding boxes. Each bounding box contained MTM and MC on one side.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!