Results 141 to 150 of about 3,315 (217)

Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare

Advanced Robotics Research, EarlyView.
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin, Jimin Kim, Inho Kim, Bong Hoon Kim   +3 more
wiley   +1 more source

CD9+ B Cells Induce T Follicular Helper Cell Apoptosis to Regulate Germinal Center Regression

Advanced Science, EarlyView.
A unique subset of CD9+ B cells regulates germinal center B (GC‐B) cell regression by inducing T follicular helper (Tfh) cell apoptosis through multiple signaling pathways, such as ALCAM‐CD6. FOXP1 plays a key role in GC‐B cell differentiation. These findings clarify mechanisms of GC degeneration and termination and offer potential targets for adenoid ...
Wenjing Liao, Lijuan Song, Meiqian Xu, Tianhao Liang, Yixuan Chen, Gui Chen, Zaihuan Lin, Huakang Du, Guofei Feng, Zhiming Feng, Qi Zhang, Fan Pan, Saixuan Yang, Xinyin Zhang, Wenxu Peng, Tianlong Li, Zhuoshen Lin, Yabang Chen, Jiayi Liu, Baoxin Peng, Yan Liu, Xing Niu, Ting Li, Chengyu Huang, Ke Mo, Jianlei Xie, Yu Zou, Xiaowen Zhang   +27 more
wiley   +1 more source

Dual Role of Tamoxifen in Enhancing STING and CEACAM1 Expression to Prime a Favorable Tumor Microenvironment for Anti‐TIM3 Immunotherapy

Advanced Science, EarlyView.
Anti‐PD‐1/PD‐L1 blockade has revolutionized cancer immunotherapy, but is ineffective against endocrine‐treated (i.e., Tamoxifen), relapsed ER+ breast cancer (BC) patients. This study provides insight into the sub‐optimal response of ER+BCs to anti‐PD‐1/PD‐L1 blockade – highlighting the induction of STING and the CEACAM1/TIM3 axis after chronic ...
Marvin Angelo E Aberin, Saurabh Singh, Soumya Chatterjee, Guang‐Zhi Sui, Yi‐Fu Wang, Ya‐Ting Lu, Yu‐Ling Lee, Kun‐Yuan Lin, Joy Khag, Ta‐Yu Liu, Shao‐Han Chang, Wai‐Mui Cheung, Hsiao‐Chin Hong, Ren‐Jun Hsu, Chen‐Yang Shen, Chia‐Wei Li, Weng‐Lang Yang, Yao‐Ming Chang, Shih‐Yu Chen, Chandan Guha, Shu‐Ping Wang   +20 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

Advanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu, Hongmin Liu, Long Fan, Huakun Liu, Shixue Dou, Guoxiu Wang, Nana Wang, Zhongchao Bai   +7 more
wiley   +1 more source

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

Advanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti, Salvatore Maria Aglioti   +1 more
wiley   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +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