Results 151 to 160 of about 84,629 (319)
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
Abstract Building upon the integrative framework of tendinopathy proposed by Gehwolf et al.—which elegantly connects mechanical stress, inflammation, and vascularity—this commentary extends the discussion by introducing novel mechanistic insights and future research directions that move beyond the established triad. A paradigm shift is proposed ...
DuJiang Yang +3 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments. [PDF]
Veesam SB +8 more
europepmc +1 more source
Traceless Regulation of Genetic Circuitry
Energy‐based, as opposed to molecular, control offers unprecedented improvements in key circuit parameters. This review summarizes the fundamentals of such traceless switches, categorizes them by trigger modalities, and compares and contrasts distinct advantages as well as shortcomings of each kind.
Gokberk Unal, Martin Fussenegger
wiley +1 more source
Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes [PDF]
Jaehong Chung +4 more
openalex +1 more source
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source

