Results 51 to 60 of about 228 (183)

PelviSound L—Real‐time intraoperative sonographic assessment of pelvic sentinel lymph nodes using a drop‐in probe in endometrial and cervical cancer during minimally invasive surgery: A single‐center pilot feasibility study in 20 patients

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Sentinel lymph node biopsy (SLNB) is considered an essential step in the surgical management of endometrial and cervical cancers as it has led to a reduction in the need for full pelvic lymphadenectomy. This proof‐of‐concept study aimed to evaluate the feasibility and diagnostic performance of intraoperative sonographic assessment of
Sascha Hoffmann   +7 more
wiley   +1 more source

Lymph‐based liquid biopsy: Current progress and future potential

open access: yesInterdisciplinary Medicine, EarlyView.
Recent evidence under the revised Starling principle indicates that lymph‐based liquid biopsies may offer superior diagnostic performance over blood‐based counterparts in certain clinical scenarios, such as early‐stage solid tumor detection. Currently, various biomarkers within the lymphatic system show significant diagnostic potential for a range of ...
Dongdong Liu   +6 more
wiley   +1 more source

Diagnosis of Amniotic Sac Herniation Into Uterine Dehiscence Using Combined Ultrasound and Magnetic Resonance Imaging—A Rare Complication Following Fetoscopic Laser Photocoagulation

open access: yesJournal of Clinical Ultrasound, EarlyView.
Fistula of the anterior uterine wall, through which the amniotic sac of the recipient communicated with the anechoic area outside the uterus (left: ultrasound imaging; right: MRI imaging; star: amniotic sac herniation; arrow: fistula; triangle: bladder).
Ziling Liu, Hongqin Chen, Jie Ruan
wiley   +1 more source

School experiences and self‐harm in the OxWell study

open access: yesJCPP Advances, EarlyView.
Understanding which school experiences are associated with greater self‐harm. More support is needed for girls and gender diverse populations. Many school experiences are things we can address and change, such as bullying. Abstract Background Schools are key for identifying challenges faced by young people who self‐harm (SH).
Rasanat Fatima Nawaz   +5 more
wiley   +1 more source

Between Practicality and Politics: Factors of Sub‐National Aid Allocation in Bosnia and Herzegovina

open access: yesJournal of International Development, EarlyView.
ABSTRACT Bosnia and Herzegovina represents a unique case of aid recipient for its complex history and administrative and political divisions. Yet, little is known about how foreign aid is allocated to local recipients. This qualitative study uncovers factors shaping sub‐national aid allocation in Bosnia and Herzegovina, highlighting donors' and ...
Lenka Dušková   +5 more
wiley   +1 more source

Exome Sequencing Identifies Variants in MLH1 and ERBB2 as Potential Cancer‐Predisposing Factors in Familial Early‐Onset Colorectal Cancer

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Colorectal cancer (CRC) has raised considerable health concerns worldwide, with increasing incidence rates, specifically among younger populations. Despite remarkable progress in diagnosing and treating various diseases, the genetic basis of CRC remains only partially understood.
Behnaz Bagheri   +7 more
wiley   +1 more source

AI‐powered nursing handoffs: Introducing and evaluating the patient report template

open access: yesLearning Health Systems, EarlyView.
Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work.
Gabriel Vald   +3 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Disentangling sequential from hierarchical learning in Artificial Grammar Learning: Evidence from a modified Simon Task. [PDF]

open access: yesPLoS One, 2020
Vender M   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy