Results 111 to 120 of about 22,594 (260)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Efficacy of fenfluramine in a pediatric epilepsy patient with a pathogenic SV2A variant: A case report

Epileptic Disorders, EarlyView.
Abstract Pathogenic SV2A gene variants have been reported as causes of epilepsy and are often associated with drug resistance and susceptibility to fever‐related seizures. No highly effective treatments have been established for this condition. We report a female patient with a family history of epilepsy who developed generalized seizures associated ...
Takayuki Mori, Hiroshi Terashima, Yu kakimoto, Mitsuhiro Kato, Shumpei Uchino   +4 more
wiley   +1 more source

Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation. [PDF]

JMIR Form Res, 2020
Shao R, He H, Chen Z, Liu H, Liu D.
europepmc   +1 more source

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

The gut microbiome organ

iMeta, EarlyView.
The gut microbiome can be conceptualized as a distributed organ‐like functional system with spatially structured organization, broad biochemical capacity, and continuous bidirectional communication with the host. By transforming dietary, host‐derived, and environmental substrates into bioactive metabolites with endocrine‐like, immunomodulatory, and ...
Yang Bi, Weibin Song, Maria Glymenaki, Jie Hu, Xiru Li, Heng Huang, Yousong Peng, Shuaishuai Ni, Ornuma Haonon, Zhu Liu, Krai Daowtak, Xiaotao Shen, Huadong Peng, Jutarop Phetcharaburanin, Huiru Tang, Yulan Wang, Jia V. Li, Mizu Jiang, Nick Powell, Victor W. Zhong, Elaine Holmes, Yunlei Xianyu, Zhigang Liu   +22 more
wiley   +1 more source

Maternal and infant gut microbiome

iMeta, EarlyView.
The maternal–infant continuum involves critical windows of host–microbiota co‐adaptation. Preconception, maternal and paternal microbiomes modulate immunity and reproduction. During pregnancy, a gut–placenta axis emerges, where microbial metabolites influence fetal growth or contribute to complications like gestational diabetes mellitus (GDM ...
Huidi Wang, Felicia Tin, Hui Chen, Fuxin Jiao, Min Wu, Shanshan Sun, Lisha Lin, Die Li, Huimin Zheng, Zhenxin Niu, Mengyao Lan, Bahtiyar Yilmaz, Johan G. Eriksson, Mengjia Wang, Andrew Macpherson, Jose C. Clemente, Jia Xu, Ri‐hua Xie, Xiaojiao Zheng, Tao Zhou, Jinfeng Wang, Wei Shen, Bing Huang, Xia Chen, Hai Li, Yan He   +25 more
wiley   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Isolating transdiagnostic effects reveals specific genetic profiles in psychiatric disorders

JCPP Advances, EarlyView.
Abstract Background Evidence indicates substantial genetic overlap between psychiatric diagnoses. Accounting for these transdiagnostic effects can sharpen research on disorder‐specific genetic architecture and patterns of comorbidity. Methods We applied genomic structural equation modeling to genome‐wide association study summary statistics from 11 ...
Engin Keser, Wangjingyi Liao, Andrea G. Allegrini, Kaili Rimfeld, Thalia C. Eley, Robert Plomin, Margherita Malanchini   +6 more
wiley   +1 more source