Results 131 to 140 of about 23,926 (271)
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +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
AI virtual digital human influencers vs. human influencers: the impact of health short videos on older adults' cognition and attitude. [PDF]
Zhang J.
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Slow Thinking for Fast Results: Reclaiming Analytical Reasoning in Antimicrobial Susceptibility Test Interpretation. [PDF]
Kiffer CRV, Bispo PJM.
europepmc +1 more source
The beauty of simple models: Themes in recognition heuristic research
The advantage of models that do not use flexible parameters is that one can precisely show to what degree they predict behavior, and in what situations.
Daniel G. Goldstein, Gerd Gigerenzer
core
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Autonomous UAV Target Search Method Based on Lightweight YOLOv8n and Coverage Path Planning. [PDF]
Duan H, Wang Z, Li M, He Z, Zhang H.
europepmc +1 more source

