Results 171 to 180 of about 88,950 (300)

The correlation between the pathological characteristics of pulmonary invasive mucinous adenocarcinoma and radiomic features and abnormal expression of the FoxM1 and Sox9 genes. [PDF]

PLoS One
Sheng A, Yan C, Ye Y, Yang Z, Wang B.
europepmc   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Multiparametric magnetic resonance imaging in differentiating benign and malignant sinonasal masses: A prospective study and literature review. [PDF]

World J Methodol
Saini M, Manchanda S, Bhalla AS, Kandasamy D, Kakkar A, Thakar A.   +5 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Fully synthetic replication of complex real biological cell clusters using a novel cluster-based 'Rosetta-Routine' computational modelling process. [PDF]

PLoS Comput Biol
Mason B, Justham L, Whitby L, Whitby A, Scott S, Nti S, Petzing J.   +6 more
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Brain Alterations Linked to the MPTP Mouse Model of Parkinson's Disease Uncovered by Diffusion Kurtosis Imaging and Magnetic Resonance Spectroscopy. [PDF]

CNS Neurosci Ther
Modi A, Maria S, Ruda-Kucerova J, Drazanova E, Harastova-Pavlova I, Sejnoha Minsterova A, Kovacovicova K, Havas D, Rektorova I, Outeiro TF, Khairnar A.   +10 more
europepmc   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data. [PDF]

NMR Biomed
Powell E, Maskery M, Emsley HCA, Parkes LM, Parker GJM, Slator PJ.   +5 more
europepmc   +1 more source