Author

Alex D. Leow

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Preprint Aug 2026

Longitudinal Bayesian Learning of Continuous Disease Position across the Alzheimer's Disease Continuum

Alzheimer's disease (AD) progresses as a continuous biological process, whereas most existing neuroimaging-based artificial intelligence methods remain limited to discrete diagnosis or clinical score prediction from cross-sectional imaging. In this work, we propose Disease Continuum Positioning (DCP), a longitudinal Ba...

Ying-Ying Zhang, Kun Zhao, Guodong Liu et al. · 0 citations

Aug 2026

Assessing the Potential of the Metaverse for Emotional Engagement and Cognitive Effort in Individuals With Depressive Symptoms

It is suggested that Metaverse-based systems can replicate key aspects of emotional experience while potentially lowering cognitive demand, and highlight their potential as scalable, user-centered platforms for designing more accessible and less demanding mental health interventions.

Fabiha Islam, Shamim Sharbaf, Purushothaman Muthukanagaraj et al. · Proceedings of the Internati... · 0 citations

Open access Aug 2026

Interpretable multimodal learning for integrating neuroimaging and genetic data in Alzheimer’s disease

R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms, shows that interpretable multimodal AI can integrate imaging and genetics to reveal disease mechanisms.

Kun Zhao, Si-Yuan Dai, Ying-Ying Zhang et al. · Frontiers in Radiology · 0 citations