Results 221 to 230 of about 88,700 (323)

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission

Epilepsia, EarlyView.
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson, Sandor Beniczky, Spiros Denaxas, Akio Ikeda, Lara Jehi, Angelina Kakooza Mwesige, Nathalie Jette, Gabriel Davis Jones, Philippe Ryvlin, Arjune Sen, Chahnez Charfi Triki, Gabriella Waters, Alla Guekht, J. Helen Cross   +13 more
wiley   +1 more source

Data-based clustering in prediction of cervical cancer DNA methylation using pan-cancer genetic and clinical data. [PDF]

Bioinform Adv
Pai N, Rao JS.
europepmc   +1 more source

Advection, diffusion and linear transport in a single path-sampling Monte-Carlo algorithm: Getting insensitive to geometrical refinement. [PDF]

PLoS One
Ibarrart L, Blanco S, Caliot C, Dauchet J, Eibner S, El Hafi M, Farges O, Forest V, Fournier R, Gautrais J, Konduru R, Penazzi L, Trégan JM, Vourc'h T, Yaacoub D.   +14 more
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

Flow perturbation to accelerate Boltzmann sampling. [PDF]

Nat Commun
Peng X, Gao A.
europepmc   +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

Small area estimation of consumption per capita expenditure under simultaneous equation Rao-Yu model. [PDF]

MethodsX
Noviyanti RA, Setiawan, Rumiati AT.
europepmc   +1 more source

Late‐onset unexplained epilepsy as a risk factor for cognitive impairment and dementia: Protocol for a multi‐center prospective longitudinal observational study (ELUCID)

Epilepsia Open, EarlyView.
Abstract Objective Late‐onset unexplained epilepsy (LoUE), defined as epilepsy onset after age 55 without an obvious cause, is an important risk factor for dementia. Studies have shown that 10%–25% of individuals with LoUE develop dementia within 3–4 years following their first seizure.
Alice D. Lam, Emily L. Johnson, Rani A. Sarkis, Leah J. Blank, Tyler E. Gaston, Mouhsin M. Shafi, Rodrigo Zepeda, Kyle R. Pellerin, Nathalie Jette, Douglas N. Greve, Lori B. Chibnik, Rebecca E. Amariglio, Gad A. Marshall, M. Brandon Westover   +13 more
wiley   +1 more source

Lasso Monte Carlo, a variation on multi fidelity methods for high-dimensional uncertainty quantification. [PDF]

J Appl Stat
Albà A, Boiger R, Rochman D, Adelmann A.   +3 more
europepmc   +1 more source