Generative AI in physical education and health: a narrative review and conceptual framework for interdisciplinary thematic learning. [PDF]
Zhu G +6 more
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Structural consistency in AI governance: A PMC index assessment with evidence from China's central-level policies. [PDF]
Zhang S, Zhang T, Wang X.
europepmc +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Research on user acceptance intention of artificial intelligence generated content for museum cultural and creative products. [PDF]
Dongjiao Z, Yunlong Z, Xu J.
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
From Concrete to Code: A Survey of AI-Driven Transportation Infrastructure, Security, and Human Interaction. [PDF]
Kose NA, Kose K, Liang F.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Developing Talent with Artificial Intelligence: Human-AI Symbiotic Theory (HAIST) as a Framework for AI-Mediated Learning and Talent Development. [PDF]
Chick JC, Morello LT.
europepmc +1 more source

