Results 141 to 150 of about 52,539 (302)

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

open access: yesAdvanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li   +4 more
wiley   +1 more source

Comparing Pre-Induction Ultrasound Parameters and the Bishop Score to Determine Whether Labor Induction Is Successful

open access: yes
Background and Objectives: The incidence of labor induction is steadily increasing worldwide. The main aim of this study was to evaluate the ultrasound parameters and their mutual correlation and to analyze the parameters’ predictive capability in ...
Dragan Stajić   +5 more
core   +1 more source

Glomage: A Multimodal Platform for High‐Content Morphological and RNA Profiling of Glomeruli in Zebrafish and Mouse Models

open access: yesAdvanced Science, EarlyView.
Understanding how glomeruli, the kidney's filtration units, function in intact tissue remains challenging. Glomage enables rapid 3D imaging and quantitative analysis of entire glomeruli from zebrafish larvae and mice. This approach allows scalable cell quantification and detection of structural changes, advancing kidney disease research and ...
Maximilian Schindler   +4 more
wiley   +1 more source

MISOPROSTOL EFFICACY IN LABOR INDUCTION

open access: yesThe Iraqi Journal of Medical Sciences, 2016
Background:The process of normal human childbirth is categorized in three stages of labor: the shortening and dilation of the cervix, descent and birth of the infant, and delivery of the placenta.
Asma Z. Fadhil, Edwar Z. Khosho
doaj  

SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening

open access: yesAdvanced Science, EarlyView.
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen   +20 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

"FOLEY CATHETER CERVICAL RIPENING WITH EXTRAAMNIOTIC INFUSION OF SALINE OR CORTICOSTEROIDS: A DOUBLE-BLIND, RANDOMIZED CONTROLLED STUDY"

open access: yesActa Medica Iranica, 2004
Induction of labor is one of the most common procedures during pregnancy. Various methods for cervical ripening and labor induction have been described in the obstetrics literature; but the role of corticosteroids in the process of labor is not entirely ...
A.Sh. Zafarghandi   +1 more
doaj  

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

open access: yesAdvanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale   +6 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

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