In recent years, there has been a significant increase in the application of Artificial
Intelligence (AI) techniques in Alzheimer's disease (AD). However, current research …

Dementia is recognised as a public health priority, affecting not only people living with the
syndrome but also formal and informal carers as well as society at large. The growing …

One neurodegenerative illness that presents a serious threat to world health is Alzheimer's
disease (AD). Prompt and precise AD prediction is essential for prompt intervention and …

The human hippocampal formation is a very small anatomical region in the brain, yet it is
essential in the declarative memory system, which encompasses stored short-term episodic …

Discovering and characterizing reproducible disease subtypes results is one of the most
demanding and fundamental tasks in many fields, such as bioinformatics and health …

Multimodal medical data (eg MR and PET imaging, CSF measurements, clinical
assessments) reflect different aspects of Alzheimer's Disease, including early changes in …

Background Numerous biomarker discovery studies and exploratory clinical studies extract
a large set of measurable variables, which often have varying degrees of correlation among …

This work studies modeling the progression of Alzheimer's disease using a parametric
method robust to outliers and missing data and a nonparametric method robust to missing …

Age-related cognitive decline is an increasingly important societal issue, given projected
increases in the proportion of older adults in the coming decades. Early identification of …

The discovery of disease subtypes substantially impacts the selection of patient-specific
treatment with implications for long-term survival and disease-related outcomes. Given the …