Results 211 to 220 of about 9,883,756 (332)

Beyond Protein Synthesis: The Multifunctional Role of Functional Amino Acids in Modulating Meat Quality in Ruminants

Animal Research and One Health, EarlyView.
Multifunctional roles of functional amino acids in regulating meat quality in ruminants: Functional amino acids (FAAs) regulate ruminant meat quality through multiple interconnected mechanisms, including antioxidant protection, metabolic regulation, signal transduction, structural support, and gene expression modulation.
Zixin Liu, Tian Xia, Xiaokang Lv, Man Ren, Chuanshe Zhou, Zhiliang Tan   +5 more
wiley   +1 more source

AI- and Deep Learning-Based Radiomics: A State-of-the-Art Review. [PDF]

J Korean Soc Radiol
Le TD, Lee S, Choi H, Arthar A, Kim J, Jung JY.   +5 more
europepmc   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Prediction of residual stones after ESWL for ureteral calculi using deep learning-radiomics-based stone heterogeneity and body composition: an interaction analysis. [PDF]

Front Med (Lausanne)
Wei S, Fang Q, Zhang L, Zhou L.
europepmc   +1 more source

High‐Resolution Deep Learning Dixon Magnetic Resonance Imaging of the Sacroiliac Joints Is Noninferior to Standard Magnetic Resonance Imaging in Patients With Suspected Axial Spondyloarthritis

Arthritis &Rheumatology, EarlyView.
Objective To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high‐resolution deep learning–reconstructed Dixon sequence (DL‐Dixon) in patients with suspected axial spondyloarthritis (axSpA). Methods Seventy‐six patients with chronic low back pain and suspected axSpA underwent clinical,
Dominik Deppe, Mariam Koka, Fabian Proft, Sevtap Tugce Ulas, Kay‐Geert Hermann, Denis Poddubnyy, Mikhail Protopopov, Henriette Baum, Hildrun Haibel, Mehrgan Shahryari, Valeria Rios Rodriguez, Jens Vogel‐Claussen, Torsten Diekhoff   +12 more
wiley   +1 more source

D-SPECT combined with deep learning predicts obstructive coronary artery disease. [PDF]

Front Cardiovasc Med
Guo B, Xie C, Liu W, Zhang Q, Wu Z, Li S.   +5 more
europepmc   +1 more source

Cancer in Systemic Sclerosis: Clinical Associations and Prognostic Impact From the EUSTAR Registry

Arthritis &Rheumatology, EarlyView.
Objective Cancer represents a major cause of death in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti‐RNA polymerase III (POLR3)–positive disease, needing further exploration. Methods We performed a nested case‐control study within the European Scleroderma Trials and Research group ...
Antonio Tonutti, Francesca Motta, Liala Moschetti, Cosimo Bruni, Carina Mihai, Claudia Iannone, Maria Rosa Pellico, Stefano Stano, Stefano Erba, Claudia Barison, Eleonora Pazzi, Andrea Benini, Beatrice Moccaldi, Kurszán Jász Dávid, Ágnes Ágoston‐Szabó, Beatrice Gabrielli, Francesca Nava, Dóra Tari, Francesca Romana Di Ciommo, Yuri Sasaki, Gonçalo Boleto, Radim Bečvář, Alejandro Brigante, Britta Maurer, Massimiliano Limonta, Rahma A. Elziaty, Fabiola Atzeni, Lilian Maria López Núñez, Roberta Foti, Francesco Benvenuti, Brigitte Granel, Elena Rezus, Leila Caillault, Sophie Blaise, Cristiana Sieiro Santos, Fabio Cacciapaglia, Roberto Giacomelli, Rossella De Angelis, Serena Guiducci, Duygu Temiz Karadag, Gabriella Szűcs, Luca Idolazzi, Gábor Kumánovics, Florenzo Iannone, Maurizio Cutolo, Gianluca Moroncini, Valeria Riccieri, Nicoletta Del Papa, Elisabetta Zanatta, Oliver Distler, Masataka Kuwana, Carlo Selmi, Maria De Santis   +52 more
wiley   +1 more source

Artificial intelligence-based prediction of procedural success in transcatheter mitral valve edge-to-edge repair. [PDF]

Echo Res Pract
Claeys M, Fam N, Xiao X, Vyas T, Chowdhury M, Moe G, Alnasser S, Prud'homme P, Merdad A, Bagai A, Connelly KA, Edwards J, Wang G, Ong G.   +13 more
europepmc   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

Advanced In Vitro Platforms for Experimental Liver Research: From Organoids and Liver‐on‐Chip to Omics and Artificial Intelligence

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Hepatocytes perform essential physiological functions in the human body. Gaining more profound insight into the liver structure, diseases, and physiology by using in vitro models can help to propose more relevant clinical applications. Conventional in vitro liver models, such as two‐dimensional (2D) cell cultures, fail to adequately replicate ...
Seyedeh Kiana Teymorian, Pedram Asadi Sarabi, Abbas Piryaei, Massoud Vosough   +3 more
wiley   +1 more source