Results 241 to 250 of about 254,046 (353)
Universities, Joint Ventures, and Success in the Advanced Technology Program
Michael R. Darby +2 more
openalex +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Extracellular superoxide production by <i>Porites</i> species provides insight into controls on coral physiology. [PDF]
Grabb KC +5 more
europepmc +1 more source
The Impact of Your Partner’s Bankruptcy on Your Joint Venture
Sara G. Duran, Aaron Rigby
openalex +1 more source
Research on Decision Support for Organizing Joint Venture
Kenji Nakamura +2 more
openalex +2 more sources
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Physical activity across the life course and neural biomarkers. [PDF]
Torres ER +8 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning. [PDF]
Wu E +9 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

