Structural MRI is routinely acquired in clinical practice, yet quantitative morphometry has had limited impact on clinical decision-making. Overlapping symptoms, trajectories and comorbidities remain difficult to interpret within disease-specific frameworks, leaving it unclear how individual patients relate to the broa...
C. Dalby, A. Dibble, S. Benini et al.· medRxiv· 1 citation
These findings indicated that ADNI does not provide the stable, internally consistent labels often required in machine learning applications, and proposed a practical framework for diagnostic validation, feature harmonization, and cohort accounting, offering guidance for building more robust and biologically meaningful...
Palmer J. Smith, Harry W. Richardson, Katie A. Robertson et al.· bioRxiv· 0 citations
Importance Socioeconomic disadvantage is associated with accelerated brain aging. However, the modifiable factors accounting for this association, and whether they differ across socioeconomic indicators, remains unclear. Objective To determine whether modifiable risk factors account for socioeconomic differences in the...
H. Richardson, A. Dibble, C. Dalby et al.· medRxiv· 0 citations
In a contemporary, diverse cohort, most established dementia risk algorithms had limited power in discriminating amyloid positivity, pTau-217 positivity, and current cognitive status despite acceptable calibration.
K. Mavromati, A. Dibble, L. Tvrdá et al.· medRxiv· 0 citations
A multivariate blood-based framework integrating 19 molecular assays and six risk instruments in the Bio-Hermes-001 cohort supports resilience and resistance as molecularly distinct subgroups and provides a scalable framework for pathology-informed stratification and mechanistic investigation.
K. Mavromati, C. Dalby, A. Dibble et al.· medRxiv· 0 citations
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