Results 81 to 90 of about 1,645,295 (287)

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

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Novel and unscrutinized immune entities of the zebrafish gut

FEBS Letters, EarlyView.
Understudied cells of the zebrafish immune system include bona fide immune cells and epithelial (‐derived) cells with immune functions. Research focusing on zebrafish cells which demonstrate similarities to mammalian immune cell counterparts may help us understand the pathologies in which they are implicated. Currently available and advanced tools make
Audrey Inge Schytz Andersen‐Civil, Marine Mantel, Julia Soh, Serge Mostowy, Sylvia Brugman, Gilles Claude Vanwalleghem   +5 more
wiley   +1 more source

Neural networks for the Recognition of X-ray Images of Ailments for Covid-19

Journal of Education, Health and Sport, 2022
This investigation analyzes the current state of neural networks, considers the available types, optimizers used for training, describes their benefits and disadvantages.
Liliia Diachenko, Oleksandr Lazoriak, Yurii Dobrovolsky, Georgii Prokhorov, Liliia Shumyliak   +4 more
doaj   +1 more source

Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2019
For a brain–computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20–30 min to collect enough data to build a reliable decoder. It is, therefore,
O-Yeon Kwon, Min-Ho Lee, Cuntai Guan, Seong-Whan Lee   +3 more
semanticscholar   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

A method for protecting neural networks from computer backdoor attacks based on the trigger identification

Научно-технический вестник информационных технологий, механики и оптики
Modern technologies for the development and operation of neural networks are vulnerable to computer attacks with the introduction of software backdoors. Program backdoors can remain hidden indefinitely until activated by input of modified data containing
A. B. Menisov, A. G. Lomako, A. S. Dudkin   +2 more
doaj   +1 more source

Mitochondrial fatty acid oxidation is stimulated by red light irradiation

FEBS Letters, EarlyView.
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera, Camille C. Caldeira da Silva, Maiza Von Denz, Mauricio S. Baptista, Alicia J. Kowaltowski   +4 more
wiley   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Machine learning methods as an aid in planning orthodontic treatment on the example of Cone-Beam Computed Tomography analysis: a literature review

Journal of Education, Health and Sport, 2021
Convolutional neural networks (CNNs) are used in many areas of computer vision, such as object tracking and recognition, security, military, and biomedical image analysis.
Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba, Anna Chomiak, Oskar Komisarek   +4 more
doaj   +1 more source