Results 231 to 240 of about 236,656 (279)

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks. [PDF]

Sci Rep
Chen M, Zhang Y, Ye Y, Lu Y.
europepmc   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

Epilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang, Zachary T. Sanger, Thomas Lisko, Steffen Ventz, Robert A. McGovern, Theoden I. Netoff   +5 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

An n‐of‐1 gene‐directed drug repurposing trial for an ultrarare genetic condition

Epilepsia, EarlyView.
Abstract Objective Gain‐of‐function (GoF) variants in the KCNC1 potassium channel subunit gene (Kv3.1) cause motor/cognitive delays and hypotonia and have been associated with seizures. Fluoxetine has inhibitory effects on Kv3.1. However, open‐label nonrandomized administration is insufficient to guide clinical decision‐making in ultrarare conditions ...
Vedika Jha, Christina Tsetsos, Mark Bedford, Gregory Costain, Sunita Vohra, Juan Pablo Diaz Martinez, Elise Heon, Jacob Vorstman, Carolina Gorodetsky, Ajoy Vincent, Jesiqua Rapley, Lori Anderson, Evdokia Anagnostou, Danielle A. Baribeau   +13 more
wiley   +1 more source

ImmUQBench: a benchmark on uncertainty quantification of protein immunogenicity prediction. [PDF]

Oxf Open Immunol
Qayyum ABA, Rahmati AH, Qian X, Yoon BJ.
europepmc   +1 more source

Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]

Discov Nano
Shaaban SM, Elhag AB, Teklu SW, Khan I, Farkhad DR, Abbas M, Bayram M.   +6 more
europepmc   +1 more source

Neural mechanisms of flexible perceptual inference. [PDF]

PLoS Comput Biol
Schwarcz J, Bauer J, Rajabi H, Marmur G, Reiner R, Lottem E, Kadmon J.   +6 more
europepmc   +1 more source

Application of Artificial Neural Network and the Monomolecular Model in Describing the Relationship Between Body Weight Gain and Metabolizable Energy Intake in Egg-Type Pullets. [PDF]

Vet Med Sci
Gharajeh ZM, Kuhi HD, Hossein-Zadeh NG.
europepmc   +1 more source

Quantifying human-environment interactions through Bayesian modeling of species-resolved microbial transfer signatures: an exploratory proof-of-concept study. [PDF]

Front Microbiol
Li H, Yu Z, Wu Z, Lin Y, Liu T, Liu Y, Li Z, Zhang S, Su Z, Wang H.   +9 more
europepmc   +1 more source

Automating wastewater characteristic parameter quantitation using neural architecture search in AutoML systems on spectral reflectance data. [PDF]

Sci Rep
Ankalaki S.
europepmc   +1 more source