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Open access Aug 2026

Multi-dimensional attention framework for personalised Alzheimer's disease progression prediction across sporadic and genetic risk cohorts

Alzheimer's disease progresses heterogeneously across diverse cohorts, yet current predictive models fail to capture this complexity while remaining clinically interpretable. Here we present a multi-dimensional attention framework that simultaneously captures both temporal dynamics and biomarker importance to predict d...

Zhi-Yuan Song, Si-Yang Song, Isabel C. H. Clare et al. · 0 citations
Open access Aug 2026

Changes in speech reflect changes in psychotic symptom severity: a longitudinal natural language processing analysis

The usefulness of automated speech and language markers to monitor or predict psychotic symptoms depends on their ability to detect changes in mental state. To date, research linking psychosis and Natural Language Processing (NLP) has been conducted almost exclusively using cross-sectional experimental designs, lim...

S. Just, Shrankhla Pandey, D. Stein et al. · 0 citations

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