Results 231 to 240 of about 124,772 (332)
Artificial Intelligence Applications in Interventional Radiology. [PDF]
Lanza C +12 more
europepmc +1 more source
Reclaiming Anatomy as Method: From Morphological Reasoning to Clinical Relevance
ABSTRACT In recent decades, molecular biology and omics technologies have profoundly reshaped biomedical research, with genomics, proteomics, and other high‐throughput approaches dominating scientific agendas and funding priorities. Within this molecular paradigm, however, the anatomical sciences face an epistemic and institutional tension: morphology,
Katia Cortese, Marco Frascio
wiley +1 more source
Artificial intelligence and the future of prosthodontics: a narrative review. [PDF]
Jayasheelan JA +3 more
europepmc +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Understanding the Workflows in Non-Guided and Static Computer-Assisted Implant Surgery. [PDF]
Jorba-Garcia A +6 more
europepmc +1 more source
This study explores the process chain for reverse engineering and additive manufacturing of a water pump impeller in a process plant. Key aspects include digital twin creation, CAD redesign, material certification, Hirtisation postprocessing, and performance testing. Insights highlight iterative design for improved precision and reliability.
Michael Stadler +3 more
wiley +1 more source
Delay guaranteed SFC placement with VNF parallelization in multidomain IoT networks. [PDF]
Liu S +5 more
europepmc +1 more source
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor +12 more
wiley +1 more source
Data-driven optimization of preschoolers' hemodynamic response in a VR setup: advancing analytic methods for children's fNIRS naturalistic data with the AICopt method. [PDF]
Contini L, Re R, Pinti P, Bulgarelli C.
europepmc +1 more source
From Executor to Orchestrator: The Pharmacology Scientist in the Age of Agentic AI
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase I achieving regulatory approval remaining near 10%. Each automation wave increased throughput while leaving the interpretive bottleneck intact; scientists continued to formulate questions, evaluate ...
Michael McCoy, Matthew McCoy
wiley +1 more source

