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Unsupervised machine learning integrates genomic variants and EMR to unravel mechanisms of brain hemorrhage and epilepsy as early indicators of Alzheimer’s in Down Syndrome

Abstract Background Comorbidity frequently manifests in pediatric diseases, especially for children with congenital defects due to chromosomal aberrations, such as Down Syndrome (DS). Disease comorbidities are often overlooked in genetic studies due to the nature of their complexity despite their cl...

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Автори: Yichuan Liu, Hui-Qi Qu, Xiao Chang, Frank D. Mentch, Haijun Qiu, Kenny Nguyen, Garnet Eister, Kayleigh Ostberg, Joseph Glessner, Hakon Hakonarson
Формат: Artigo
Мова:Inglês
Опубліковано: BMC 2025-12-01
Серія:Alzheimer’s Research & Therapy
Предмети:
Alzheimer’s
Down syndrome
Disease comorbidity
Machine learning
Whole genome sequencing (WGS)
Онлайн доступ:https://doi.org/10.1186/s13195-025-01946-w
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