Results 121 to 130 of about 13,307 (234)
Higher-order temporal network prediction and interpretation. [PDF]
Bart Peters HA, Ceria A, Wang H.
europepmc +1 more source
Robust Hyperlinks and Locations
Phelps, Thomas A., Wilensky, Robert
openaire +2 more sources
Conceptual workflow for developing a study. The figure illustrates the stepwise process of moving from an initial clinical area of interest to a focused research question, database selection, cohort construction, and final analysis. Key considerations include identifying a knowledge gap, determining which data elements are available, defining inclusion
Jacob F. Wood +7 more
wiley +1 more source
What evidence syntheses reveal about PROSPERO, INPLASY, OSF, the Research Registry, and protocols.io: a meta-research study. [PDF]
Ferreira RT +18 more
europepmc +1 more source
Fairness at Risk: Where Bias Emerges in Machine Learning
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque +2 more
wiley +1 more source
Perceived Educational Value and Enjoyment of Mandatory Research Assignment by Final-Year Veterinary Medicine Students. [PDF]
Adami C +3 more
europepmc +1 more source
Integrating 3D Software Technology for Human Anatomy Instruction in Dental Education
Journal of Dental Education, Volume 90, Issue S1, Page S155-S157, June 2026.
Cassio Luiz Coutinho Almeida‐da‐Silva +1 more
wiley +1 more source
ABSTRACT Accurately assessing the energy consumption associated with public buildings and the services they provide is essential for supporting sustainable infrastructure planning. This work presents an integrated modelling framework that combines machine learning prediction of building energy use with a graph based representation of user mobility ...
Valerio Bellandi +6 more
wiley +1 more source
Correction: Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology. [PDF]
Lederman O +9 more
europepmc +1 more source

