Results 131 to 140 of about 496,088 (288)

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments. [PDF]

Front Artif Intell, 2022
Tato A, Nkambou R.
europepmc   +1 more source

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Layer-based personalized multi-fusion federated learning

Scientific Reports
Historical data form the foundation for information system modelling. Yet, clients typically do not share it due to concerns about data privacy and security.In the absence of data, it is impossible to identify a model that yields optimal decisions for ...
Wangzhuo Yang, Bo Chen, Zheming Wang
doaj   +1 more source

Polyp Segmentation Based on Multilevel Information Correction Transformer

IEEE Access
This paper proposes a precise and reliable polyp segmentation method using multilevel Information Correction transformer. Unlike the conventional direct fusion approach, it harnesses the strengths of transformers in modeling global information and ...
Ju Yuan, Guoqi Liu, Haewoon Nam
doaj   +1 more source

Development of an Online Asynchronous Clinical Learning Resource ("Ask the Expert") in Dental Education to Promote Personalized Learning. [PDF]

Healthcare (Basel), 2021
Menon RK, Seow LL.
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Onboarding New Graduate Nurses Using Assessment-Driven Personalized Learning to Improve Knowledge, Critical Thinking, and Nurse Satisfaction. [PDF]

J Nurses Prof Dev, 2023
Valdes EG, Sembar MC, Sadler F.
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source