Results 171 to 180 of about 20,013,753 (226)

Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning. [PDF]

Biomimetics (Basel)
Cheng R, Sun Z, Qi K, Wu W, Xu L.
europepmc   +1 more source

ICOS‐ImmunoPET Monitors T Cell Activation After Combination Immune Checkpoint Blockade in a Mouse Model of Melanoma Brain Metastasis

Advanced Science, EarlyView.
ICOS‐immunoPET noninvasively visualizes activated T cells in melanoma brain metastases following combined anti‐PD‐1/anti‐CTLA‐4 therapy. Clinical translation of this imaging approach may improve patient stratification and treatment monitoring and serve as a quantitative imaging endpoint to support immunotherapy development and clinical trials in brain ...
Renesmee C. Kuo, Rohit Verma, Sydney C. Nagy, Mausam Kalita, Samuel Aubert, Josué Ballesteros‐Álvarez, Pedro Machado Almeida, Hannes Vogel, Israt S. Alam, Michael Lim, Michelle L. James   +10 more
wiley   +1 more source

Combining Spatial Multi-Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self-Supervised Graph Learning. [PDF]

Adv Sci (Weinh)
Lu Y, Qiao R, Li Y, Li J, Yue N, Ge J, Wang J, Chen L, Li P.   +8 more
europepmc   +1 more source

Unveiling Mechanisms of SEI Formation and Sodium Loss in Sodium Batteries via Interface Reactor Sampling

Advanced Science, EarlyView.
An “Interface Reactor” strategy boosts simulation stability by 2–3 orders of magnitude, enabling stable 100 ns molecular dynamics of electrode‐electrolyte interfaces. Distinct SEI formation mechanisms are revealed: mixed co‐formation in carbonates versus surface‐energy‐controlled NaF crystallization in ethers. Metadynamics simulations further elucidate
Zhoulin Liu, Ziliang Wang, Zherui Chen, Jianchun Sha, Fengzijun Pan, Pingyang Zhang, Yinghe Zhang   +6 more
wiley   +1 more source

Multi-View Transformers for Structure-Aware HA-NA Drift Risk Scoring and Mutation Hotspot Mapping. [PDF]

Viruses
Agarwal P, Yogarayan S, Sayeed MS, Tipu RK.   +3 more
europepmc   +1 more source

Ahcy Acts as an Effector of Hnf4a‐Driven Super‐Enhancer Activation to Alleviate MASLD During Intermittent Fasting

Advanced Science, EarlyView.
Our study identifies an Hnf4a‐driven super‐enhancer of hepatic Ahcy that mediates the protective effects of intermittent fasting against MASLD. Disruption of the Ahcy super‐enhancer reduces Ahcy expression and exacerbates lipid accumulation. This pathway prevents aberrant promoter hypermethylation by maintaining the SAM/SAH balance, as exemplified by ...
Huafeng Chen, Shilin Zhang, Xiaojie Deng, Wenqiang Xie, Fen Xu, Jie Shen, Hua Liang   +6 more
wiley   +1 more source

ULSL: Unified Latent and Similarity Learning for robust multi-omics cancer subtype identification. [PDF]

Bioinform Adv
Liu Z, Zhou Y, Yang W, Zhang Y, He Y, Li D, Zheng S, Chen S, Fan L.   +8 more
europepmc   +1 more source

Reorganization of Innate Immune Cell Lipid Profiles by Bioinspired Meroterpenoids to Limit Inflammation

Advanced Science, EarlyView.
Resolution pharmacology is an emerging strategy to tackle inflammatory pathologies. Bioinspired meroterpenoids induce a lipid mediator class switch toward inflammation resolution in vitro and in vivo by targeting key nodes in lipid mediator biosynthesis and neutral lipid dynamics.
Lorenz Waltl, David Holubek, Klaus Speck, Raphael Wildermuth, Franz‐Lucas Haut, Stephan Permann, Immanuel Plangger, Christian Steinborn, Zhigang Rao, Danilo D'Avino, Ida Cerqua, Julia Stadler, Fiorentina Roviezzo, Peter Schlenke, Anita Siller, Harald Schennach, Solveigh C. Koeberle, Eva‐Maria Pferschy‐Wenzig, Antonietta Rossi, Thomas Magauer, Andreas Koeberle   +20 more
wiley   +1 more source

PCIPG: A comprehensive framework for protein complex identification based on a probabilistic graphical model. [PDF]

PLoS Comput Biol
Huang Y, Yang L, Wang J, Gong X.
europepmc   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source