Results 241 to 250 of about 816,103 (361)

UKF-based closed loop iterative learning control of epileptiform wave in a neural mass model. [PDF]

Cogn Neurodyn, 2015
Shan B, Wang J, Deng B, Wei X, Yu H, Li H.   +5 more
europepmc   +1 more source

Endogenous Engineering Reprograms Extracellular Vesicles for Enhanced Therapeutic Function

Advanced Science, EarlyView.
This review explains how Extracellular vesicles‐producing cells can be endogenously engineered to load therapeutic proteins and nucleic acids. We summarize physiological and genetic strategies that harness native sorting pathways for selective cargo loading.
Jinghui Wang, Wenxuan Zhao, Xiaoming Hu, Yishu Wang, Peidong Yang, Diwei Zheng, Yugang Wang, Guanghui Ma, Min Shi, Wei Wei, Shuang Wang   +10 more
wiley   +1 more source

Application of an iterative generative AI-augmented teaching model in medical immunology education. [PDF]

Front Artif Intell
Niu Y, Xu J, Yang W, Yuan H, Liu Z, Zhang W, Liu L.   +6 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Evaluation of optimal ClearInfinity artificial intelligence deep learning reconstruction algorithm weights with a 70-kVp tube voltage combined with "dual-low" abdominal computed tomography angiography. [PDF]

Quant Imaging Med Surg
Xiang J, Wang S, Liu C, Liu H, Zhu P, Wang G, Chen W.   +6 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Fast Norm-Optimal Iterative Learning Control for Industrial Applications

, 2005
Lewin, P, Owens, D, Rogers, E, Ratcliffe, J, Duinkerken, L V, Hatonen, J, Harte, T   +6 more
core  

Reciprocal innovation in implementation science and global health: reflections from the EXTRA-CVD (extending the HIV treatment cascade for cardiovascular disease prevention) study. [PDF]

BMC Glob Public Health
Leung CL, Bosworth HB, Webel AR, Aifah A, Akwanalo C, Bloomfield GS, Choi EW, Gripshover BM, Hileman CO, Kamano J, Lopez-Kidwell V, Muiruri C, Njuguna B, Okeke NL, Longenecker CT, Vedanthan R.   +15 more
europepmc   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Myocardial extracellular volume fraction in cardiac CT: comparison of deep learning reconstruction and iterative reconstruction. [PDF]

J Thorac Dis
Wu H, Niu K, Liu L, Ma Z, Song D, Shen J, Yu J, Qin J, Wu J.   +8 more
europepmc   +1 more source