From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss +9 more
wiley +1 more source
Reimagining research equity and beneficial community impact: reflections from the GSK Africa Open Lab inaugural cohort. [PDF]
Afrane AKA +10 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Future-proofing agricultural research: FAIR principles for agriculture AI agents (FAIR4AG<sup>2</sup>). [PDF]
Qian C +7 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Rethinking bioinformatics expertise in the era of artificial intelligence. [PDF]
Wen Bin Goh W +3 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
NeuDiff Agent: a governed AI workflow for single-crystal neutron crystallography. [PDF]
Xiao Z, Zhang L, Zhang G, Wang X.
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Originality, Authorship, and Accountability in AI-Enabled Pharmaceutical Design. [PDF]
Hubbard MF, M Issa A, Fossler MJ.
europepmc +1 more source

