Results 101 to 110 of about 1,335,515 (298)

Artificial Intelligence Assessment of Renal Scarring (AIRS Study). [PDF]

Kidney360, 2022
Chantaduly C, Troutt HR, Perez Reyes KA, Zuckerman JE, Chang PD, Lau WL.   +5 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography. [PDF]

Int Urol Nephrol, 2022
Kwon JM, Kim KH, Jo YY, Jung MS, Cho YH, Shin JH, Lee YJ, Ban JH, Lee SY, Park J, Oh BH.   +10 more
europepmc   +1 more source

Synthesis of a Novel Thermoresponsive S53P4 Bioactive Glass Extract–Poloxamer 407 Injectable Hydrogels: Assessment of Biocompatibility and Antimicrobial Properties

Advanced Engineering Materials, EarlyView.
This study investigates innovative thermoreversible hydrogels derived from S53P4 bioactive glass extracts to aid in the healing of infected diabetic foot wounds. These injectable gels, which gel at body temperature, release beneficial ions and remain stable over time.
Marian G. Vargas Guerrero, Adrian Stiller, Alex Nygård, Matej Krivulka, Lars Galema, Erwin Peters, Jimmy Lucchesi, Peter Uppstu, Leena Hupa, Jacobus J. C. Arts   +9 more
wiley   +1 more source

Towards Achilles Tendon Injury Prevention in Athletes with Structural MRI Biomarkers: A Machine Learning Approach

Sports Medicine - Open
Background Recent advancements in artificial intelligence have proven their effectiveness in orthopaedic settings, especially in tasks like medical image analysis.
Norbert Kapinski, Karol Jaskulski, Justyna Witkowska, Adam Kozlowski, Pawel Adamczyk, Bartosz Wysoczanski, Agnieszka Zdrodowska, Adam Niemaszyk, Beata Ciszkowska-Lyson, Michal Starczewski   +9 more
doaj   +1 more source

Modeling and performance analysis of GNSS-based train positioning system with colored petri nets

High-Speed Railway
Global Navigation Satellite System (GNSS)-based continuous and accurate train positioning is one of the key technologies for advanced train operations such as train virtual coupling.
Shuting Chen, Daohua Wu, Jiang Liu, Siqi Wang   +3 more
doaj   +1 more source

Artificial intelligence assessment of the potential of tocilizumab along with corticosteroids therapy for the management of COVID-19 evoked acute respiratory distress syndrome. [PDF]

PLoS One, 2023
Segú-Vergés C, Artigas L, Coma M, Peck RW.   +3 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics. [PDF]

Diagnostics (Basel), 2022
Lin MC, Tseng VS, Lin CS, Chiu SW, Pan LK, Pan LF.   +5 more
europepmc   +1 more source

Dual‐Mode Film Based on Highly Scattering Nanofibers and Upcycled Chips‐Bags for Year‐Round Thermal Management

Advanced Functional Materials, EarlyView.
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song, Stefan Rettinger, Chengzhang Xu, Ulrich Mansfeld, Markus Retsch   +4 more
wiley   +1 more source