Results 71 to 80 of about 1,693,918 (338)

Where, how, and how much? A multicenter cohort study of the relationship between lupus decision aid modality, place of administration, interruption and viewing completeness and patient‐reported outcomes

Arthritis Care &Research, Accepted Article.
Objective We assessed whether shared decision‐making (SDM), and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE), differs by PtDA setting, modality, and the viewing experience.
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing DEcision‐Aid for Lupus in clinics (IDEAL) Consortium   +3 more
wiley   +1 more source

Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism

BMC Bioinformatics, 2022
Background Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus forming the critical aspects for the early treatment of several diseases.
Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li   +6 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification

Complex & Intelligent Systems
Class imbalance is a prevalent issue in practical applications, which poses significant challenges for classifiers. The large margin distribution machine (LDM) introduces the margin distribution of samples to replace the traditional minimum margin ...
Li Liu, Jinrui Guo, Ziqi Yin, Rui Chen, Guojun Huang   +4 more
doaj   +1 more source

Creativity and artificial intelligence

Artificial Intelligence, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Forskolin Enhances Urokinase Plasminogen Activator Secretion and Angiogenic Activity of Xeno‐Free Cultures of Human Adipose Tissue‐Derived Stem Cells

Advanced Biology, EarlyView.
The regenerative potential of adipose tissue‐derived stem cells can be enhanced through chemical stimulation in vitro. A short stimulation protocol using forskolin, either alone or in combination with other growth factors, under xeno‐free conditions enhanced the pro‐angiogenic responses in human ASCs.
Maria Vittoria Giraudo, Anne Therese Lauvrud, Rebecca Wiberg, Maria Brohlin, Gustav Andersson, Paul J Kingham   +5 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

A Deep Transfer NOx Emission Inversion Model of Diesel Vehicles with Multisource External Influence

Journal of Advanced Transportation, 2021
By installing on-board diagnostics (OBD) on tested vehicles, the after-treatment exhaust emissions can be monitored in real time to construct driving cycle-based emission models, which can provide data support for the construction of dynamic emission ...
Zhenyi Xu, Ruibin Wang, Yu Kang, Yujun Zhang, Xiushan Xia, Renjun Wang   +5 more
doaj   +1 more source

Artificial Intelligence in Pathology [PDF]

Journal of Pathology and Translational Medicine, 2019
As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic data to accurately diagnose diseases and predictpatient prognoses.
Cho Joon Young, Sanghun Lee, Junwoo Isaac Woo, Tae Yeong Kwak, Chan Kwon Jung, Sun Woo Kim, Hye Yoon Chang   +6 more
openaire   +4 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source