Results 181 to 190 of about 4,266 (248)

RNF13 regulates the endolysosomal pathway through interaction with the small GTPase Arl8B

The FEBS Journal, EarlyView.
The E3 ubiquitin ligase RNF13 functions as a regulatory scaffold, organizing Arl8B‐dependent complexes and tuning downstream signaling that controls endolysosomal organization and trafficking. In this model, wild‐type RNF13 associates with Arl8B on endolysosomes, whereas Arl8B (E22D/F55A) or RNF13 (L244A) variants weaken complex assembly, potentially ...
Audrey M. Sénécal, Valérie C. Cabana, Antoine Y. Bouchard, Laurent Cappadocia, Marc P. Lussier   +4 more
wiley   +1 more source

Deep neural networks trained for estimating reflectance and illumination achieve lightness constancy differently than human observers. [PDF]

J Vis
Flachot A, Patel J, Wallis TSA, Brubaker MA, Brainard DH, Murray RF.   +5 more
europepmc   +1 more source

Extended Reality in Endodontics: A Review of Current Applications and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Peng Yuan Zhou, Damiano Pasqualini, Henry F. Duncan, Ruben Pauwels, Ali Nosrat   +6 more
wiley   +1 more source

Business Intelligence in Radiation Oncology: About Potential and Limits. [PDF]

Oncology
Bovet M, Peters S, Müller-Focke T, Hirschi P.   +3 more
europepmc   +1 more source

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

International 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, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

Generating and Modeling Virtual Patient Data from Published Population Pharmacokinetic Analyses: A Vancomycin Case Study. [PDF]

Pharmaceuticals (Basel)
Suzuki M, Kasai H, Aoyama T, Tsuji Y.
europepmc   +1 more source

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

International 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, Richard Gault, Jamie Toole, Aysar Khudair, Omer Butt, Ikhlas El‐Karim   +5 more
wiley   +1 more source

Fractal analysis of brain shape formation predicts age and genetic similarity in human newborns. [PDF]

Nat Neurosci
Krohn S, Romanello A, von Schwanenflug N, Rasmussen JM, Buss C, Valk SL, Madan CR, Finke C.   +7 more
europepmc   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source