Results 211 to 220 of about 1,604,947 (399)
Epilepsia Open, EarlyView., 2022 Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various preclinical epilepsy research disciplines. The aim of the CDEs is to improve the standardization of experimental designs across a range of epilepsy ...
Erwin A. van Vliet +11 more
wiley +1 more source
Bone and metal - an orthopaedic perspective on osseointegration of metals
The area of implant osseointegration is of major importance, given the predicted significant rise in the number of orthopaedic procedures and an increasingly ageing population.
Cook, Richard +4 more
core +1 more source
The Influence of First-Stage Mobility on the Osseointegration of Dental Implants
, 1994 Frank R. Lauciello +7 more
openalex +1 more source
Factors influencing the fracture of dental implants
Clinical Implant Dentistry and Related Research, 2018 B. Chrcanovic +3 more
semanticscholar +1 more source
AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics
Advanced Intelligent Systems, EarlyView.This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee +3 more
wiley +1 more source
Frontiers in Dentistry, 2013 Accurate delivery of torque to implant screws is critical to generate ideal preload in the screw joint and to offer protection against screw loosening. Mechanical torque-limiting devices (MTLDs) are available for this reason.
Mahmood Kazemi +3 more
doaj
Phase Stability in Rare‐Earth‐Doped Apatites: A Machine Learning Approach
Advanced Intelligent Systems, EarlyView.The thermal behavior and phase stability of rare‐earth‐doped apatites are investigated using high‐temperature X‐ray diffraction and thermogravimetric analysis. A machine learning decision tree model predicts decomposition products and stability regimes with ≈86% accuracy.
Geeta Sharma +5 more
wiley +1 more source