Results 111 to 120 of about 308,375 (218)

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

Patterns of CDSS adoption in primary care: a cluster analysis and predictive modelling study from a stepped wedge trial. [PDF]

open access: yesImplement Sci
Basten J   +5 more
europepmc   +1 more source

Kaempferol Attenuates Spaceflight‐Associated Knee Cartilage Degradation by Targeting NOX4‐Mediated Mitochondrial Dysfunction

open access: yesAdvanced Science, EarlyView.
We have shown that both simulated and actual spaceflight contribute to cartilage degradation in the knees of mice. Using RNA sequencing and bioenergetic profiling, we identified NADPH oxidase 4 (NOX4) as a key factor driving these changes. Additionally, we found that kaempferol, a naturally occurring flavonoid that binds directly to NOX4, reduces ...
Yuesong Yin   +23 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

Exploring Factors Influencing Healthcare Providers' Referral Decisions to Cardiac Rehabilitation Programs in Riyadh City: A Cross-Sectional Study. [PDF]

open access: yesJ Patient Exp
Adam TR   +10 more
europepmc   +1 more source

scTIDE: Deciphering Critical Transitions Through Cell‐Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching

open access: yesAdvanced Science, EarlyView.
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong   +6 more
wiley   +1 more source

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