Results 91 to 100 of about 236,724 (287)
Uterine PEComa With Lymphangioleiomyomatosis (LAM)-Like Features: A Case Report
Perivascular epithelioid cell tumors (PEComas) of the uterus are rare mesenchymal neoplasms characterized by myogenic and melanocytic differentiation. These tumors can mimic other uterine mesenchymal tumors in their clinical presentation and morphology ...
Ramani Raman +3 more
doaj +1 more source
Aim: The aim of this study was to investigate the place of endometrial thickness in detecting endometrial malignancy in patients with postmenopausal vaginal bleeding.
Ahmet Çetin +5 more
core +1 more source
SAV1 in Cooperation With FKBP52 Participates in Implantation
The MST‐SAV1 complex modulates FKBP52 phosphorylation to fine‐tune PR activity, ensuring timely uterine transition to receptivity under estrogen signaling for implantation. Stromal SAV1 scaffolds MST1/2‐mediated FKBP52 phosphorylation via noncanonical Hippo to promote PR activity.
Yuhan Shao +10 more
wiley +1 more source
Endometrial carcinoma is one of the most common neoplasms in gynaecological oncology. The 5-year overallsurvival rate depends on the FIGO stage. For patients with stage I endometrial cancer it is estimated as 80%.Traditionally, the main treatment of ...
Paweł Pawłowicz +4 more
doaj
Determining the Oestrogen and Progesterone Receptor Expression in Cases of Endometrial Carcinoma: A Cross-sectional Study [PDF]
Introduction: Endometrial carcinoma is the second most common female genital tract malignancy in India with a incidence rising globally. Hormone receptors are positive in 35-90% of endometrial carcinomas.
Resmi Rajeev, Nisha m das, CR jyothi
doaj +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
SOX17/PAX8 dual immunohistochemical expression in the diagnosis of Müllerian carcinomas
Background Metastatic Müllerian carcinomas, including endometrial and ovarian adenocarcinomas, are challenging to diagnose due to factors like similar malignancies, insufficient clinical history, multiorgan dissemination, and small tumor specimens ...
Manar Moustafa +2 more
doaj +1 more source
Mortality burden of malignant neoplasms of the corpus uteri in Mexico: an analysis of trends from 2000 to 2022 [PDF]
Objective: The aim of this study was to analyze temporal trends in malignant neoplasms of corpus uteri mortality in México from 2000 through 2022. Methods: Certificates of death were analyzed.
Eugenia Flores-Alfaro +5 more
doaj +1 more source

