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Author

S. Tasaki

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Open access Sep 2026

Disease relevance and replicability of deep learning gene expression prediction

Recent deep learning (DL) models predict average gene expression levels from DNA sequences with high overall correlation to measured values. We examine these DL models through the lens of disease research. The seemingly high overall performance of DL models is largely due to capturing whether genes are “On” or “Off”, a...

Ada Zhang, S. Tasaki, David R. Connell et al. · 0 citations
Open access Aug 2026

A multiancestry polygenic risk score for Alzheimer’s disease is associated with cognitive decline and neuropathological hallmarks in diverse populations

An APOE-independent polygenic risk score for Alzheimer’s disease derived from multiancestry GWAS summary statistics shows consistent associations with cognitive, imaging, biomarker and neuropathological features in diverse populations.

N. Kurniansyah, S. Tasaki, H. Rehman et al. · 0 citations
Open access Aug 2026

Polygenic risk for hearing abilities and longitudinal cognitive outcomes in older adults

Hearing loss (HL) is a major modifiable risk factor for cognitive decline and dementia, particularly Alzheimer's disease (AD). However, the relationship between hearing loss and cognitive decline as influenced by common biological factors, i.e. genetic predisposition, is not fully understood. Furthermore, auditory...

U. Akhtar, S. Tasaki, Jing-Yun Yang et al. · 0 citations
Jul 2026

Inflammatory proteins and cognitive decline in older black adults.

In older Black adults, circulating inflammatory proteins were linked to cognition, reinforcing the role of systemic inflammation as a potential driver of neurodegeneration in this population.

Anat Yaskolka Meir, H. Adeola, S. Tasaki et al. · 0 citations
Open access Jul 2026

Social vulnerability index and inflammation: a proteomic analysis linking social context to biological risk in older black adults.

By analyzing associations between community-level factors and inflammation-related proteins, this study provides new molecular insights into how social context may relate to biological risk, identifies proteomic patterns that could inform the development of community-level interventions, and underscores the utility of...

Anat Yaskolka Meir, H. Adeola, S. Tasaki et al. · 0 citations
Open access Aug 2026

Altered microglial communication in brains with Alzheimer’s Disease pathology

It was found that AD was characterized by altered microglial composition and rewiring of intercellular communication, including disease-specific signaling pathways and distinct interaction hubs.

Loren dos Santos, R. Vialle, Natacha Comandante-Lou et al. · 0 citations

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