Results 221 to 230 of about 988,463 (351)

DiffMC‐Gen: A Dual Denoising Diffusion Model for Multi‐Conditional Molecular Generation

open access: yesAdvanced Science, EarlyView.
DiffMC‐Gen, a dual‐diffusion model for 2D and 3D molecular generation, simultaneously optimizes multiple key objectives across the drug design process, enabling the generation of novel, target‐specific small‐molecule ligands with high therapeutic potential.
Yuwei Yang   +7 more
wiley   +1 more source

Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property‐Balanced IR Functional Materials

open access: yesAdvanced Science, EarlyView.
A synergistic framework for interpretable ML‐assisted target discovery of selenoborates is developed. ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I) are successfully predicted and synthesized, exhibiting significant potential to be promising IR functional materials. This work promotes the cooperation of ML technology and materials science.
Yihan Yun   +4 more
wiley   +1 more source

Virtual Reality Planning for Mandible Reconstruction: A Case Report. [PDF]

open access: yesPlast Reconstr Surg Glob Open
Banerjee AR   +4 more
europepmc   +1 more source

Wogonin Attenuates Atherosclerosis via KLF11‐Mediated Suppression of PPARα‐YAP1‐Driven Glycolysis and Enhancement of ABCA1/G1‐Mediated Cholesterol Efflux

open access: yesAdvanced Science, EarlyView.
PPARα promotes KLF11 expression and recruits KLF11 and YAP1 to form a transcription complex, where KLF11 acts as a brake in PPARα‐YAP1‐mediated glycolysis. Wogonin reshapes the metabolism of macrophages from glycolysis to fatty acid oxidation via activation of the PPARα‐KLF11‐YAP1 pathway, by which wogonin reduces inflammation and foam cell formation ...
Chuanrui Ma   +14 more
wiley   +1 more source

Virtual Reality as an Adjunct to Pediatric Cast Removal: A Randomized Controlled Trial. [PDF]

open access: yesJB JS Open Access
Georgiadis AG   +6 more
europepmc   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

open access: yesAdvanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li   +5 more
wiley   +1 more source

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