Results 221 to 230 of about 101,551 (301)

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Soft Matter: A Tale of Eco-Friendly Materials, Self-Organised Phases and Biological Impact. [PDF]

Materials (Basel)
Dierking I.
europepmc   +1 more source

Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates

Advanced Science, EarlyView.
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel, Kabir Zama, Matthew Smart, Ramya Eathirajan, Ivan Seskar, Narayan Mandayam, Guangxin Ni, Martin Mönnigmann, Shriram Ramanathan   +8 more
wiley   +1 more source

Using Floquet theory to unravel far-from equilibrium dynamics in reaction-diffusion systems. [PDF]

PNAS Nexus
Juma VO, Mapfumo KZ, Portet S, Madzvamuse A.   +3 more
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Model-Informed Drug Development: Addressing the Critical Need for Training in the Promising New Field. [PDF]

Dela J Public Health
Moghadamnia Y, Zurakowski R, Islam MA.
europepmc   +1 more source

Micro‐Galvanic Coupling Programs the Therapeutic Zinc Ion Window to Reconfigure Immune Cascades for Pro‐Regenerative Bone Healing

Advanced Science, EarlyView.
This study utilized alloy micro‐galvanic coupling design to regulate the release of essential elements, thereby programming immune responses and promoting regeneration. The sacrificial anodic process of Zn‐0.8Mg reduced Zn2+ release compared to the “large cathode‐small anode” coupling of Zn‐0.8Fe.
Chaoyang Sun, Bo Jia, Jiahui Shi, Shuang Li, Guo Bao, Dong Bian, Kai Chen, Junlong Tan, Xuenan Gu, Yan Guan, Yu Qin, Xinhua Qu, Xiaogang Wang, Yufeng Zheng, Hongtao Yang   +14 more
wiley   +1 more source

A fractional-order approach to predator-prey interactions: Modeling fear and disease dynamics with memory effects. [PDF]

PLoS One
Rahmi E, Anggriani N, Panigoro HS, Peter OJ.   +3 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Efficiency, accuracy and robustness of probability generating function based parameter inference method for stochastic biochemical reactions. [PDF]

PLoS Comput Biol
Li S, Wang Y, Shu Z, Grima R, Jiang Q, Cao Z.   +5 more
europepmc   +1 more source