Results 41 to 50 of about 9,721 (245)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning

open access: yesRemote Sensing
Hyperspectral images are high-dimensional data that capture detailed spectral information across a wide range of wavelengths, enabling the precise identification and analysis of different materials or objects. However, the high dimensionality of the data
Yi Guo   +4 more
doaj   +1 more source

An Unsupervised Hyperspectral Band Selection Method Based on Shared Nearest Neighbor and Correlation Analysis

open access: yesIEEE Access, 2019
Band selection is an important dimensionality reduction (DR) methodology for hyperspectral images (HSI). In recent years, many ranking-based clustering band selection methods have been developed.
Rongchao Yang, Jiangming Kan
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

open access: yesAdvanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut   +16 more
wiley   +1 more source

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

open access: yesAdvanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim   +9 more
wiley   +1 more source

Infusible Extracellular Matrix Biomaterial Enhances Cell‐Specific Pro‐Repair Responses Following Acute Myocardial Infarction

open access: yesAdvanced Healthcare Materials, EarlyView.
We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin   +18 more
wiley   +1 more source

Multi-Spectral Image Change Detection Based on Band Selection and Single-Band Iterative Weighting

open access: yesIEEE Access, 2019
Iteratively reweighted multivariate alteration detection algorithm has the phenomena of broken patches, much noise, and small change area that are difficult to detect, and the overall detection rate is low.
Liyuan Ma   +4 more
doaj   +1 more source

Packed for Ossification: High‐Density Bioprinting of hPDC Spheroids in HAMA Toward Endochondral Ossification

open access: yesAdvanced Healthcare Materials, EarlyView.
Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez   +6 more
wiley   +1 more source

Integration of geospatial foundation models in unsupervised change detection workflows for landslide identification

open access: yesInternational Journal of Digital Earth
This study investigates the integration of Geospatial Foundation Models (GFMs) into an unsupervised change detection workflow for landslide identification.
Julia Anna Leonardi   +3 more
doaj   +1 more source

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