Last Posted: May 09, 2024
- Utility of next generation sequencing in paediatric neurological disorders: experience from South Africa.
Magriet van Niekerk et al. Eur J Hum Genet 2024 - Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records.
Christina Felix et al. Digit Health 2024 1020552076241249286 - Prospective evaluation of NGS-based sequencing in epilepsy patients: results of seven NASGE-associated diagnostic laboratories.
Maximilian G W Witzel et al. Front Neurol 2023 141276238 - QALYs and rare diseases: exploring the responsiveness of SF-6D, EQ-5D-5L and AQoL-8D following genomic testing for childhood and adult-onset rare genetic conditions in Australia.
Tianxin Pan et al. Health Qual Life Outcomes 2023 21(1) 132 - Clinical and Demographic Characteristics of Families Attending the Epilepsy, Neuromuscular, and Child Wellbeing Clinics.
Ahmed K Bamaga et al. Cureus 2023 15(8) e43651 - Caffeine intake interacts with Asian gene variants in Parkinson's disease: a study in 4488 subjects.
Yi-Lin Ong et al. Lancet Reg Health West Pac 2023 40100877 - Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: A pilot study.
Guillermo Delgado-García et al. Epilepsia 2023 - Implementation of Exome Sequencing in Clinical Practice for Neurological Disorders.
María Isabel Alvarez-Mora et al. Genes (Basel) 2023 14(4) - Application of optimized convolutional neural networks for early aided diagnosis of essential tremor: Automatic handwriting recognition and feature analysis.
Yanwen Wang et al. Medical engineering & physics 2023 113103962 - Short-term outcome prediction for myasthenia gravis: an explainable machine learning model.
Huahua Zhong et al. Therapeutic advances in neurological disorders 2023 1617562864231154976 - Artificial Intelligence Tools to Evaluate Language and Speech Patterns in Alzheimer's Disease.
Favaro Anna et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022 18 Suppl 2e064913 - A Machine Learning Approach for Detecting Idiopathic REM Sleep Behavior Disorder.
Salsone Maria et al. Diagnostics (Basel, Switzerland) 2022 12(11) - Artificial intelligence-based methods for fusion of electronic health records and imaging data.
Mohsen Farida et al. Scientific reports 2022 12(1) 17981 - The White Matter Rounds experience: The importance of a multidisciplinary network to accelerate the diagnostic process for adult patients with rare white matter disorders.
Huang Yu Tong et al. Frontiers in neurology 2022 13928493 - Association of Genetic Variant Linked to Hemochromatosis With Brain Magnetic Resonance Imaging Measures of Iron and Movement Disorders.
Loughnan Robert et al. JAMA neurology 2022 - Shared mechanisms across the major psychiatric and neurodegenerative diseases
TS Wingo et al, Nat Comm, July 26, 2022 - An electronic health record (EHR) phenotype algorithm to identify patients with attention deficit hyperactivity disorders (ADHD) and psychiatric comorbidities.
Slaby Isabella et al. Journal of neurodevelopmental disorders 2022 14(1) 37 - Genetic therapies for neurological disease: state of the art and opportunities for next-generation approaches.
Morris Gareth et al. Neuroscience 2022 - Whole genome sequencing for the diagnosis of neurological repeat expansion disorders in the UK: a retrospective diagnostic accuracy and prospective clinical validation study.
Ibañez Kristina et al. The Lancet. Neurology 2022 21(3) 234-245 - Genetic Analysis of Neuroligin 4Y Gene in Autism Population of India.
Hegde Rajat et al. Global medical genetics 2022 9(1) 18-22
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.