A Theory-Informed Narrative-Centered Model to Foster AI Literacy and Biomedical Career Interest. [PDF]
Mott B +5 more
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
ENHANCE (Tailored Intervention for Brain Health and Cognitive Enrichment for Cognitive Health), a Coach-Supported Digital Intervention for Dementia Prevention in Underserved Older Adults: Co-Design and Usability Study. [PDF]
Yu CTK +28 more
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Serious Game Aimed at Assessing Executive Planning Skills in Children With Autism: Cross-Sectional Design and Formative Evaluation of ShopAutiPlan. [PDF]
Shamhan ANM +3 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Development and evaluation of a technology-enhanced simulation to measure physician decision making in trauma triage. [PDF]
Mohan D +6 more
europepmc +1 more source
The Work of John Nash in Game Theory [PDF]
Prize Seminar, December 8, 1994.Game Theory;
Committee, Nobel Prize
core
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Enhancing Omics Analyses Through Coalitional Games and Shapley Values. [PDF]
Vargas E, de la Torre I, Esteban FJ.
europepmc +1 more source

