Results 61 to 70 of about 2,082,534 (353)

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

How Electroencephalogram Reference Influences the Movement Readiness Potential?

Frontiers in Neuroscience, 2017
Readiness potential (RP) based on electroencephalograms (EEG) has been studied extensively in recent years, but no studies have investigated the influence of the reference electrode on RP.
Yuxia Hu, Lipeng Zhang, Mingming Chen, Xiaoyuan Li, Li Shi   +4 more
doaj   +1 more source

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2018
Deep learning (DL) methods and architectures have been the state-of-the-art classification algorithms for computer vision and natural language processing problems.
Siavash Sakhavi, Cuntai Guan, Shuicheng Yan   +2 more
semanticscholar   +1 more source

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

Molecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova, Dominika Maurencova, Barbora Salovska, Marek Kratky, Tomas Mracek, Zuzana Korandova, Alena Pecinova, Pavla Vasicova, David Rysanek, Ladislav Andera, Ivo Fabrik, Rudolf Kupcik, Pavel Kashmel, Pinky Sultana, Vojtech Tambor, Jiri Bartek, Josef Novak, Marie Vajrychova, Zdenek Hodny   +18 more
wiley   +1 more source

Prognosis for patients with cognitive motor dissociation identified by brain-computer interface

Brain : a journal of neurology, 2020
See Owen (doi:10.1093/brain/awaa056) for a scientific commentary on this article. Pan et al. report that in patients with disorders of consciousness who show no detectable command-following behaviours, about 80% of those identified via a brain-computer ...
Jiahui Pan, Qiuyou Xie, Pengmin Qin, Yan Chen, Yanbin He, Haiyun Huang, Fei Wang, Xiaoxiao Ni, A. Cichocki, Ronghao Yu, Yuanqing Li   +10 more
semanticscholar   +1 more source

Brain computer interface [PDF]

, 2014
This report presents an EEG-based brain-computer interface (BCI) in which subjects could select a picture from a set on a computer screen. The application is centred on detecting steady-state visual evoked potentials (SSVEP) in EEG signals recorded on ...
Madrid Sobrino, María
core   +2 more sources

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

A wearable repetitive transcranial magnetic stimulation device

Nature Communications
Repetitive transcranial magnetic stimulation (rTMS) is widely used to treat various neuropsychiatric disorders and to explore the brain, but its considerable power consumption and large size limit its potential for broader utility, such as applications ...
Zihui Qi, Hao Liu, Fang Jin, Yihang Wang, Xuefeng Lu, Ling Liu, Zhengyi Yang, Lingzhong Fan, Ming Song, Nianming Zuo, Tianzi Jiang   +10 more
doaj   +1 more source

Adaptive Initialization Method for K-Means Algorithm

Frontiers in Artificial Intelligence, 2021
The K-means algorithm is a widely used clustering algorithm that offers simplicity and efficiency. However, the traditional K-means algorithm uses a random method to determine the initial cluster centers, which make clustering results prone to local ...
Jie Yang, Yu-Kai Wang, Xin Yao, Xin Yao, Chin-Teng Lin   +4 more
doaj   +1 more source

Brain - computer interface [PDF]

, 2016
Brain -computer interface - the interface that implements the connection between the human brain and the computer. The main idea is that when you think about action and do it, the same part of the brain is activated.In the middle of the XIX century ...
Shliahetskiy, A.A.
core