Results 151 to 160 of about 30,075 (285)

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice

Annals of Neurology, EarlyView.
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley   +1 more source

Progress in Biomimetic Microdevices for Anticancer Drug Screening and their Potential for Enhancing In Vivo Efficacy

Advanced NanoBiomed Research, EarlyView.
Biomimetic microdevices are redefining anticancer drug screening by mimicking complex tumor microenvironments. This review highlights advances in microfluidic systems, cell microarrays, and in vivo‐like models, offering new insights into drug efficacy prediction and personalized medicine. The development of effective anticancer drugs remains a critical
Ching‐Te Kuo, Yen‐Tzu Liao, Hsinyu Lee   +2 more
wiley   +1 more source

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, Nouf Abdullah Almujally, Muhammad Aslam, Syeda Fizzah Jilani   +5 more
wiley   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

The Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee, Julian M. Moore, Brandon Vera Covarrubias, Leigha M. Lynch   +3 more
wiley   +1 more source

Human‐Centered Holographic Assistant using Computer Vision to Interact with Battery Manufacturing Machinery in a Predictive Manner

Batteries &Supercaps, EarlyView.
Human‐centered solution composed of a HoloLens app (client) and a Server app to predict resulting electrode properties in real time as the user manipulates the machinery (calendering in this case). This work focuses on a novel human‐centered digital assistant combining Mixed Reality (MR), Computer Vision, and Machine Learning regression to guide ...
Diego E. Galvez‐Aranda, Soorya Saravanan, Alejandro A. Franco   +2 more
wiley   +1 more source

Cellular Automata Modeling as a Tool in Corrosion Management. [PDF]

Materials (Basel), 2023
Reinoso-Burrows JC, Toro N, Cortés-Carmona M, Pineda F, Henriquez M, Galleguillos Madrid FM.   +5 more
europepmc   +1 more source

Unveiling the complexity of cellular senescence in cancers: From mechanism to therapeutic opportunities

BMEMat, EarlyView.
This review highlights the complex roles of cellular senescence in cancer progression and suppression, discusses the mechanisms and regulatory pathways involved, and evaluates the efficacy of the “One‐Two punch” sequential treatment approach while addressing emerging challenges in this novel therapeutic strategy.
Qiuming Pan, Ye Zhu, Zhi Ye, Huayang Zhang, Junxi Wang, Guozhong Yi, Zhiyong Li, Rongyang Xu, Luyao Wang, Zhenzhen Wu, Songtao Qi, Guanglong Huang, Shanqiang Qu   +12 more
wiley   +1 more source

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

BMEMat, EarlyView.
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua Stein, Shichen Steven Lin, Chaochen Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang   +9 more
wiley   +1 more source

Comparison of gap-based and flow-based control strategies using a new controlled stochastic cellular automaton model for traffic flow

, 2023
K. Kinjo, Akiyasu Tomoeda
openalex   +2 more sources

Insights Into Dendritic Growth Mechanisms in Batteries: A Combined Machine Learning and Computational Study

Battery Energy, EarlyView.
Dendritic growth in batteries presents challenges to both performance and safety. In this study, we have successfully developed a two‐dimensional artificial neural network model that accurately identifies consistent growth modes observed in experimental data.
Zirui Zhao, Junchao Xia, Si Wu, Xiaoke Wang, Guanping Xu, Yinghao Zhu, Jing Sun, Hai‐Feng Li   +7 more
wiley   +1 more source