
From precision diagnosis to precision treatment in epilepsy.
Katrine M Johannesen et al. Nature reviews. Neurology 2022 12
Integrative genetic analysis illuminates ALS heritability and identifies risk genes.
Megat Salim et al. Nature communications 2023 1 (1) 342
Massive health-record review links viral illnesses to brain disease
M Koslov, Nature, January 23, 2023
Wearables and AI better predict the progression of muscular dystrophy
Nature Medicine, January 20, 2023


Chen Yue-E, et al. Pathobiology : journal of immunopathology, molecular and cellular biology 2023 0 0. 1-10
Uncovering common pathobiological processes between COVID-19 and pulmonary arterial hypertension by integrating Omics data.

Wang Rui-Sheng, et al. Pulmonary circulation 2023 0 0. (1) e12191
Estrogen Receptor Genes, Cognitive Decline, and Alzheimer Disease.

Shahram Oveisgharan et al. Neurology 2023
Germline genetic mutations in pediatric cerebrovascular anomalies: a multidisciplinary approach to screening, testing, and management.

Melissa A LoPresti et al. Journal of neurosurgery. Pediatrics 2023 1-9
Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning.

Silvia Grazioli et al. European child & adolescent psychiatry 2023 1-11
Prediction of intracranial pressure crises after severe traumatic brain injury using machine learning algorithms.

Dmitriy Petrov et al. Journal of neurosurgery 2023 1-8
Quantifying the Severity of Metopic Craniosynostosis Using Unsupervised Machine Learning.

Erin E Anstadt et al. Plastic and reconstructive surgery 2023 151(2) 396-403
Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis.

Xin Tong et al. BMC neurology 2023 23(1) 45
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument.

Fahmida Haque et al. Diagnostics (Basel, Switzerland) 2023 13(2)
Classifying epileptic phase-amplitude coupling in SEEG using complex-valued convolutional neural network.

Chunsheng Li et al. Frontiers in physiology 2023 131085530
Development of Clinical Decision Models for the Prediction of Systemic Lupus Erythematosus and Sjogren's Syndrome Overlap.

Yan Han et al. Journal of clinical medicine 2023 12(2)
In-hospital and home-based long-term monitoring of focal epilepsy with a wearable electroencephalography device. Diagnostic yield and user experience.

Jaiver Macea et al. Epilepsia 2023
Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients.

Artem Zatcepin et al. Zeitschrift fur medizinische Physik 2023
Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Chuan Hong et al. JAMA 2023 329(4) 306-317
Accuracy of Non-Invasive Prenatal Testing for Duchenne Muscular Dystrophy in Families at Risk: A Systematic Review.

Zaninovic Luca et al. Diagnostics (Basel, Switzerland) 2023 13(2)
Newborn screening for spinal muscular atrophy in Australia: a non-randomised cohort study.

Kariyawasam Didu S et al. The Lancet. Child & adolescent health 2023
Prevalence of Diabetes and Its Association with Atherosclerotic Cardiovascular Disease Risk in Patients with Familial Hypercholesterolemia: An Analysis from the Hellenic Familial Hypercholesterolemia Registry (HELLAS-FH).

Boutari Chrysoula et al. Pharmaceuticals (Basel, Switzerland) 2023 16(1)
RNA sequencing of blood from sex- and age-matched discordant siblings supports immune and transcriptional dysregulation in autism spectrum disorder.

Tomaiuolo Pasquale et al. Scientific reports 2023 13(1) 807
Spectrum of Genetic Variants in the Dystrophin Gene: A Single Centre Retrospective Analysis of 750 Duchenne and Becker Patients from Southern Italy.

Viggiano Emanuela et al. Genes 2023 14(1)
Anxiety, depression, and somatic symptom disorders in health care workers at high altitude during the rapid spread of the SARS-CoV-2 Omicron variant: A prospective cohort study.

Feng Xiaokai, et al. Frontiers in psychiatry 2023 0 0. 1018391
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About ND PHGKB
Neurological Disorders (ND) PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to neurological disorders....more
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Disclaimer: Articles listed in the Public 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.
- Page last reviewed:Feb 1, 2023
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