Results 71 to 80 of about 294 (197)
A Novel Multimodal Deep Image Analysis Model for Predicting Extraction/Non‐Extraction Decision
Orthodontics &Craniofacial Research, Volume 29, Issue 1, Page 101-111, February 2026.ABSTRACT Objective This study aimed to develop a deep learning model classifier capable of predicting the extraction/non‐extraction binary decision using lateral cephalometric radiographs (LCRs) and intraoral scans (IOS) to serve as an additional decision‐support tool for orthodontists.
Sunna Imtiaz Ahmad +13 more
wiley +1 more source
Non‐Linear Reduced Order Modelling of Transonic Potential Flows for Fast Aerodynamic Analysis
International Journal for Numerical Methods in Engineering, Volume 127, Issue 2, 30 January 2026.ABSTRACT This work presents a physics‐based reduced order modelling (ROM) framework for the efficient simulation of steady transonic potential flows around aerodynamic configurations. The approach leverages proper orthogonal decomposition and a least‐squares Petrov‐Galerkin (LSPG) projection to construct intrusive ROMs for the full potential equation ...
M. Zuñiga +3 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.Abstract Background Head and neck cancer (HNC) involves anatomically intricate regions where precise target delineation is essential for radiotherapy. The superior soft‐tissue contrast of MRI provides clearer boundary visualization compared with computed tomography (CT), enabling tighter margins and supporting daily plan adaptation in online adaptive ...
Qiang Han +9 more
wiley +1 more source
Super Time‐Resolved Tomography
Advanced Science, Volume 13, Issue 3, 14 January 2026.A super time‐resolved tomography (STRT) approach is presented to reconstruct 4D X‐ray movies with an order‐of‐magnitude improvement in temporal resolution without sacrificing spatial resolution. By leveraging a physics‐informed deep learning algorithm that shares spatiotemporal features, STRT achieves high‐fidelity 3D reconstructions from sparse‐view ...
Zhe Hu +6 more
wiley +1 more source
Advanced Science, Volume 13, Issue 4, 19 January 2026.Integrating hierarchical physicochemical features via a bio‐inspired design, the DAISY framework robustly predicts T‐cell receptor binding, significantly outperforming state‐of‐the‐art models on unseen epitopes. It uniquely offers visual interpretability via Score‐CAM visualizations and profound clinical relevance, correlating with T‐cell expansion ...
Yajing Yuan +9 more
wiley +1 more source
A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography
Advanced Science, Volume 13, Issue 1, 5 January 2026.The hybrid diffusion PACT (HD‐PACT) system enhances dynamic multiparametric information using only 128–256 ultrasound elements. By overcoming limited‐view artifacts, HD‐PACT refines structural and functional information such as oxygen saturation observed in 3D premium PACT with > 1000 elements. Through cost‐effective and faster multiparametric imaging,
Hyunsu Jeong +5 more
wiley +1 more source
Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases
Advanced Science, Volume 13, Issue 5, 27 January 2026.Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li +7 more
wiley +1 more source
Concurrent Sensing and Communications Based on Intelligent Metasurfaces
Advanced Electronic Materials, Volume 12, Issue 2, 21 January 2026.An IM‐assisted concurrent ISAC scheme to exploit the otherwise wasted energy inherent in high‐order 16‐APSK DAM, to realize wireless gesture recognition thereby enabling efficient resource sharing for C‐ISAC. This architecture offers promising opportunities for next‐generation mobile internet, embodied intelligence, smart homes, smart factories, and ...
Hanting Zhao +8 more
wiley +1 more source
Learning Optimal Crowd Evacuation from Scratch Through Self‐Play
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri +3 more
wiley +1 more source