Results 241 to 250 of about 4,880,009 (349)
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Editorial: Breakthroughs in Cryo-EM with machine learning and artificial intelligence. [PDF]
Eng ET, Hanson SM, Sanchez-Garcia R.
europepmc +1 more source
Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models [PDF]
Jeong-Hoon Kim +2 more
openalex +1 more source
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
PEDOT:PSS—A Key Material for Bioelectronics
PEDOT:PSS ‐ Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate ‐ is typically processed from water dispersions to form multifunctional and multidimensional constructs with tunable electronic and ionic conductivity. Throught processing engineering, PEDOT:PSS is intergrated in bioelectronic devices that operate efficiently in physiological conditions
Alan Eduardo Ávila Ramírez +5 more
wiley +1 more source
Principles for Rigorous Design and Application of Synthetic Microbial Communities
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang +21 more
wiley +1 more source

