Automated deep learning-radiomics pipeline for non-calcified coronary plaque detection using non-contrast calcium score CT. [PDF]
Chen W +10 more
europepmc +1 more source
This work first time reports an eco‐friendly desert plant food‐based polysaccharide ASKP microgels which have intestinal site‐specific release properties which can achieve small‐intestine or colon targeting capability via different cross‐linking chemistry.
Huiling Yan +10 more
wiley +1 more source
Artificial Intelligence CT Texture Radiomics for Outcome Prediction After EVAR: A Narrative Review. [PDF]
Zanon C +3 more
europepmc +1 more source
A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Spatial suppression of motion and motion segmentation in peripheral vision. [PDF]
Nandagopal P +2 more
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Artificial Intelligence-assisted Multimodal Quantification of Facial Pore Reduction After Microneedling With Adipose-derived Stem Cell Exosomes. [PDF]
Kim J.
europepmc +1 more source
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
An Optimal Deep Hybrid Framework with Selective Kernel U-Net for Skin Lesion Detection and Classification. [PDF]
Gulmirzaeva G +3 more
europepmc +1 more source
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen +15 more
wiley +1 more source

