Results 281 to 290 of about 2,830,903 (392)

Cholesterol Promotes Lung Adenocarcinoma Brain Metastasis by Stabilizing EGFR Protein to Drive EMT, Metabolic Reprogramming, and Premetastatic Niche Formation

open access: yesAdvanced Science, EarlyView.
Cholesterol is revealed as a multitasking fuel for lung adenocarcinoma brain metastasis: it locks EGFR at the membrane to sustain AKT/NF‐κB–driven glycolysis and EMT, loosens the blood–brain barrier by promoting Claudin‐5 loss, and rewires microglia through IL‐4R lipid‐raft–JAK1/STAT6 signaling.
Ying Chen   +14 more
wiley   +1 more source

Gel‐Amin for Improving Extracellular Recordings of Cardiomyocytes in a 3D Microphysiological System

open access: yesAdvanced Electronic Materials, EarlyView.
This work combines a conductive collagen‐based hydrogel with a laser‐cut and assembly technique to fabricate microphysiological systems that improve extracellular recordings of cardiomyocytes in 3D on microelectrode arrays. The inclusion of choline acrylate into GelMA imparts a higher electrical conductivity and improves the signal‐to‐noise ratio of on‐
Dominic Pizzarella   +4 more
wiley   +1 more source

Double Density Sign in Double-Chambered Right Ventricle. [PDF]

open access: yesJACC Case Rep
Needelman BS, Vatsia S, Saba SG.
europepmc   +1 more source

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

open access: yesAdvanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova   +3 more
wiley   +1 more source

Uncommon Cardiac Myxoma Arising from the Right Ventricle-Imaging Insights. [PDF]

open access: yesCJC Open
Viscogliosi S   +4 more
europepmc   +1 more source

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