Results 201 to 210 of about 7,343,069 (347)
Probabilistic graphical model using graph neural networks for Bayesian inversion of discrete structural component states [PDF]
Teng Li +4 more
openalex +1 more source
AI Designed Conformation Locking Peptides Target STING to Restore Diabetic Wound Healing
A generative AI pipeline identifies SCP‐1, a conformation‐locking peptide that stabilizes inactive STING. Incorporated into a dual‐responsive hydrogel for localized, MMP‐9‐triggered release, SCP‐1 suppresses inflammation, promotes reparative macrophage polarization, and accelerates diabetic wound healing.
Xinyu Li +8 more
wiley +1 more source
Ultra-low-power probabilistic graphical computing based on memristors enabling communications signal processing. [PDF]
Jiang C +7 more
europepmc +1 more source
Adaptive Probabilistic Graphical Models with Deep Reinforcement Learning
Jincheng Zhang
openalex +1 more source
Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models [PDF]
Brij Malhotra +3 more
openalex +1 more source
In glioblastoma, M2‐polarized macrophages secrete IL‐6, which activates STAT3 signaling in tumor cells to upregulate CTSB. Tumor‐derived CTSB binds the C‐terminus of macrophage S100A10, reinforcing M2 polarization and further IL‐6 secretion, thereby establishing a feedforward IL‐6/STAT3/CTSB/S100A10 loop. This cascade drives tumor growth, invasion, and
Hao Zhang +11 more
wiley +1 more source
Nestimate: An R Package for dynamic, probabilistic, and high order network analysis. [PDF]
Saqr M, López-Pernas S, Misiejuk K.
europepmc +1 more source
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley +1 more source
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning. [PDF]
Chen W, Yu S, Shao H, Sha L, Zhao H.
europepmc +1 more source

