Improved measurement of disease progression in people living with early Parkinson's disease using digital health technologies.
Matthew D Czech et al. Commun Med (Lond) 2024 3 (1) 49 (Posted Mar 18, 2024 9AM)
Diagnosis and Management of Myotonic Dystrophy Type 1
J Hartman et al, JAMA March 11, 2024 (Posted Mar 11, 2024 2PM)
Spending on Targeted Therapies for Duchenne Muscular Dystrophy
L Bendicksen et al, JAMA, March 11, 2024 (Posted Mar 11, 2024 11AM)
Early dementia diagnosis: blood proteins reveal at-risk people The results of a large-scale screening study could be used to develop blood tests to diagnose diseases such as Alzheimer’s before symptoms take hold.
M Naddaf, Nature, February 13, 2024 (Posted Feb 13, 2024 9AM)
Hoa Thi Phuong Bui et al. PLoS One 2024 19(3) e0290936
Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.
River Jiang et al. JAMA Cardiol 2024
Diagnostic utility of exome sequencing followed by research reanalysis in human brain malformations.
Daniz Kooshavar et al. Brain Commun 2024 6(2) fcae056
Etranacogene dezaparvovec gene therapy for haemophilia B (HOPE-B): 24-month post-hoc efficacy and safety data from a single-arm, multicentre, phase 3 trial.
Michiel Coppens et al. Lancet Haematol 2024
Improving newborn screening test performance for metachromatic leukodystrophy: Recommendation from a pre-pilot study that identified a late-infantile case for treatment.
Teresa H Y Wu et al. Mol Genet Metab 2024 142(1) 108349
Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning.
Youli Jiang et al. Patient Educ Couns 2024 123108228
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing.
Sergio Rubio-Martín et al. Health Inf Sci Syst 2024 12(1) 20
Investigating the efficacy and importance of mobile-based assessments for Parkinson's disease: uncovering the potential of novel digital tests.
Yanci Zhang et al. Sci Rep 2024 14(1) 5307
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245
Clinical characteristics of 4,520 paediatric patients infected with the SARS-CoV-2 omicron variant, in Xi'an, China.
Yue Jingwei, et al. Frontiers in pediatrics 2024 0 0. 1325562
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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, 2024
- Page last updated:Mar 18, 2024
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