Results 71 to 80 of about 3,626 (230)
MFCN‐DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction
Quantitative Biology, Volume 14, Issue 1, March 2026.Abstract Precise prediction of drug–drug interactions (DDIs) is essential for pharmaceutical research and clinical applications to minimize adverse reactions, optimize therapies, and reduce costs. However, existing methods still face challenges in effectively integrating multidimensional drug features and fully utilizing edge features in molecular ...
Jiayi Lu +5 more
wiley +1 more source
Automatic detection of arterial input function for brain DCE‐MRI in multi‐site cohorts
Magnetic Resonance in Medicine, Volume 94, Issue 6, Page 2732-2744, December 2025.Abstract Purpose Arterial input function (AIF) extraction is a crucial step in quantitative pharmacokinetic modeling of DCE‐MRI. This work proposes a robust deep learning model that can precisely extract an AIF from DCE‐MRI images. Methods A diverse dataset of human brain DCE‐MRI images from 289 participants, totaling 384 scans, from five different ...
Lucas Saca +15 more
wiley +1 more source
The Plant Phenome Journal, Volume 8, Issue 1, December 2025.Abstract Image‐based plant phenotyping has diverse applications, ranging from providing quantitative traits for genetic breeding to enhancing management practices for indoor and outdoor production systems. Misidentification of cell lines or ecotypes/varieties is a major problem across all biological research disciplines.
Rijad Sarić +5 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.Abstract Accurate prediction of broadband ground motion parameters is important for earthquake disaster prevention and mitigation. Due to the lack of high wave number components in the source rupture process and velocity models, physics‐based ground motion simulation methods can only reliably produce low‐frequency ground motions (< ${< } $1 Hz).
Yuxing Pan +3 more
wiley +1 more source
International Journal of Imaging Systems and Technology, Volume 35, Issue 6, November 2025.ABSTRACT Low‐dose computed tomography (LDCT) is widely used to promote reduction of patient radiation exposure, but the associated increase in image noise poses challenges for diagnostic accuracy. In this study, we propose a Vision Transformer (ViT)‐based denoising framework enhanced with a State Space Optimizing Block (SSOB) to improve both image ...
Luella Marcos +2 more
wiley +1 more source
Prediction of CRISPR-Cas9 off-target activities with mismatches and indels based on hybrid neural network. [PDF]
Comput Struct Biotechnol J, 2023 Yang Y, Li J, Zou Q, Ruan Y, Feng H.
europepmc +1 more source
Magnetic Resonance in Medicine, Volume 94, Issue 5, Page 2234-2248, November 2025.Abstract Purpose Accurate MR signal simulation, including microvascular structures and water diffusion, is crucial for MRI techniques like fMRI BOLD modeling and MR vascular Fingerprinting (MRF), which use susceptibility effects on MR signals for tissue characterization.
Thomas Coudert +9 more
wiley +1 more source
Recent advancements in machine vision methods for product code recognition: A systematic review. [PDF]
F1000Res, 2022 Koponen J, Haataja K, Toivanen P.
europepmc +1 more source
Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
Wind Energy, Volume 28, Issue 11, November 2025.ABSTRACT Multibody simulation (MBS) is an established method for modeling wind turbines for purposes such as load calculation. While capable of modeling wind turbines at high levels of detail, large MBS models can be computationally expensive. This makes deployment for real‐time critical use cases like digital twins difficult.
Stefan Witter +3 more
wiley +1 more source