Results 101 to 110 of about 36,054 (206)

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

An intracortical brain-machine interface based on macaque ventral premotor activity. [PDF]

Sci Rep
De Schrijver S, Garcia Ramirez J, Iregui S, Aertbeliën E, De Schutter J, Theys T, Decramer T, Janssen P.   +7 more
europepmc   +1 more source

A prototype closed-loop brain-machine interface for the study and treatment of pain. [PDF]

Nat Biomed Eng, 2023
Zhang Q, Hu S, Talay R, Xiao Z, Rosenberg D, Liu Y, Sun G, Li A, Caravan B, Singh A, Gould JD, Chen ZS, Wang J.   +12 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A new paradigm for brain-machine interface electrodes: From static to dynamic, advancing toward embodied intelligence. [PDF]

Innovation (Camb)
Han F, Yu Q, Zheng H, Li G, Li Q, Tian Q, Zhang Y, Liu Z.   +7 more
europepmc   +1 more source

A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates. [PDF]

IEEE Trans Biomed Circuits Syst, 2022
An H, Nason-Tomaszewski SR, Lim J, Kwon K, Willsey MS, Patil PG, Kim HS, Sylvester D, Chestek CA, Blaauw D.   +9 more
europepmc   +1 more source

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

Advanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun, Hang Xian, Yunxin Shi, Taotan Yang, Hongyan Shuai, Wenchao Hu, Siying Fei, Miao Xu, Taoyuan Yang, Ruilong Xia, Ting Wen, Fengting Zhu, Yan Fu, Yang Li, Wei Xia, Ran Qian, Yuanying Liu, Zhicheng Tian, Lamei Li, Qian Zhou, Lize Xiong, Rui Cong, Ceng Luo, Shengxi Wu, Xiafeng Shen, Xin Yu, Rou‐Gang Xie, Changgeng Peng   +27 more
wiley   +1 more source

Enhancing biocompatibility of the brain-machine interface: A review. [PDF]

Bioact Mater
Villa J, Cury J, Kessler L, Tan X, Richter CP.   +4 more
europepmc   +1 more source

An Examination of Prospective Uses and Future Directions of Neuralink: The Brain-Machine Interface. [PDF]

Cureus, 2021
Fiani B, Reardon T, Ayres B, Cline D, Sitto SR.   +4 more
europepmc   +1 more source

Astrocytic Phenotypic Switching in Posterior Piriform Cortex Orchestrates Bone Cancer Pain–Depression Comorbidity via Purinergic–Noradrenergic Signaling

Advanced Science, EarlyView.
Bone cancer pain and depression share a common origin: astrocytic A2‐to‐A1 transition in the posterior piriform cortex. This phenotypic shift disrupts the ATP–adenosine–A2AR–norepinephrine axis, simultaneously driving nociceptive and affective dysfunction.
Jiang‐Ping Liu, Jun‐Han Zhang, Zhi‐Xuan Tan, Wei‐Bing Yan, Ya‐Ru Yuan, Yao Liu, Bing‐Di Wei, Meng‐Qi Ding, Zhuo‐Min Fu, Ying Liu, An‐Qi Wang, Lin Ma, Yong‐Hong Li, Er‐Qing Chai, Chao‐Jun Wei   +14 more
wiley   +1 more source