Results 181 to 190 of about 323,103 (298)

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source

A Review of Trans‐Dimensional Kirigami: From Compliant Mechanism to Multifunctional Robot

Advanced Intelligent Systems, EarlyView.
This review outlines recent advancements in the geometric design and mechanical properties of kirigami. The kirigami is classified into two categories from a compliant mechanism perspective, highlighting their applications in metamaterials and robotic systems. Finally, the future research directions, is explored focusing on the potential of integrating
Yang Yu, Jinyao Zhang, Dengchen Wang, Yanqi Yin, Yehui Wu, Ruiyu Bai, Jiaqiang Yao, Yupei Zhang, Jingwen Yin, Chao Tang, Alexey S. Fomin, Wenjie Sun, Chen Liu, Bo Li, Guimin Chen   +14 more
wiley   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Optisense: Computational Optimization for Strain Sensor Placement in Wearable Motion Tracking Systems

Advanced Intelligent Systems, EarlyView.
A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim, Juhyung Ahn, Jieun Seo, Steve Park, Joo Yong Sim   +4 more
wiley   +1 more source

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

Advanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang, Junyi Hu, Yu Han, Wanquan Liu, Fuxing Wei, Jianqing Peng   +5 more
wiley   +1 more source

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking

Advanced Intelligent Systems, EarlyView.
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley   +1 more source

Autonomic Activities in Cases of Post-traumatic Stress Disorder Through Virtual Reconstruction of Trauma

International Journal of Medical Toxicology and Forensic Medicine
Background: In Iran, one of the main duties of forensic psychiatrists is to accurately diagnose post-traumatic stress disorder (PTSD). In order to achieve a more accurate diagnosis and reduce the possibility of deception, the autonomic reactions of ...
Seyed Mehdi Saberi, Ali Yoonessi, Davood Mirtorabi, Armindokht Ahmadi, Mohammad Sadegh Rahmanian   +4 more
doaj  

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Sustainable Cellulose Ionogels With Promising Physical Structure, Properties, and Applications

Advanced Physics Research, EarlyView.
This study presents a comprehensive overview of cellulose functional gels, focusing on their molecular network design and physical properties. The extensive potential applications of cellulose gels in flexible electronics, biomedicine, and smart engineering are explored in depth. This work provides valuable insights and guidance for future research and
Wenjuan Wang, Haibo Jiang, Geyuan Jiang, Minxin Wang, Jun Guan, Jianhong Zhou, Dawei Zhao   +6 more
wiley   +1 more source