Results 151 to 160 of about 61,713 (310)

New biosensors and transgenic mice for multiplex cGMP imaging

open access: yesBritish Journal of Pharmacology, EarlyView.
Background and Purpose Cyclic guanosine monophosphate (cGMP) is a versatile second messenger that is important for human (patho‐)physiology and pharmacotherapy. Live‐cell imaging of cGMP with biosensors allows to elucidate its spatiotemporal dynamics in real time under close‐to‐native conditions. However, to monitor two separate cGMP pools or cGMP/cAMP
Markus Wolters   +6 more
wiley   +1 more source

Exploring the Challenges and Legal Implications of Secondary Use of Health Data in South Africa

open access: yesDeveloping World Bioethics, EarlyView.
ABSTRACT The sharing of health data advances knowledge, fosters innovation, and promotes evidence‐based decision‐making. This practice involves using existing data for collaborative research or for purposes other than those for which it was originally collected.
Aliki Edgcumbe   +3 more
wiley   +1 more source

Non‐Invasive Fibrosis Testing in Adults With Obesity and MASLD: A Systematic Review and Meta‐Analysis

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Adults with obesity are at increased risk of metabolic dysfunction‐associated steatotic liver disease (MASLD)‐related fibrosis, but the diagnostic performance of non‐invasive tests (NITs) in this population remains uncertain. This meta‐analysis evaluated NITs for detecting significant (≥F2) and advanced (≥F3) fibrosis in adults with ...
Patricia M. Ortega   +5 more
wiley   +1 more source

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

open access: yesEuropean Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães   +1 more
wiley   +1 more source

DTA [PDF]

open access: yes, 2019
openaire   +1 more source

Arsenite methyltransferase 3 is required for mitochondrial function and hepatic lipid metabolism

open access: yesThe FEBS Journal, EarlyView.
AS3MT is a protein that helps the body process arsenic, a naturally occurring toxin found in water and soil. We discovered it also helps cells make and use energy properly. Without AS3MT, cells' mitochondria do not work well, leading to fatty liver and reduced activity. Increasing AS3MT in liver cells restores energy and protects against arsenic damage,
Patrice Delaney   +10 more
wiley   +1 more source

sj-dta-2-etp-10.1177_10422587241227627 – Supplemental material for Using O*Net to Study the Intersection of Entrepreneurship and Employment: A Primer

open access: yes
Supplemental material, sj-dta-2-etp-10.1177_10422587241227627 for Using O*Net to Study the Intersection of Entrepreneurship and Employment: A Primer by Gavin Williamson in Entrepreneurship Theory and ...
Gavin Williamson (17964309)
core   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad   +3 more
wiley   +1 more source

Deep Learning for Assessing Caries Depth in Permanent Teeth Using Intraoral Radiographs: A Systematic Review

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate treatment. Artificial intelligence (AI) models have been increasingly used for detecting and classifying carious lesions; however, the evidence focusing specifically on the classification of ...
Laith Abu Qdais   +5 more
wiley   +1 more source

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