Prediction of Alzheimers disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end we combine a predictive multi-task machine learning method1 with novel MR-based multivariate morphometric surface map of the hippocampus2 to predict future cognitive scores of patients. Previous work...

Increasing interest is being shown in the link between olfaction, a complex sensory system, and cognition, particularly in the elderly. Olfaction is known to affect cognitive abilities and mood. In this article, we consider the impairment of olfactory function due to Alzheimer disease (AD), Parkinson disease (PD) and Lewy body disease (LBD), through pathological changes in the peripheral and ce...

oxidative stress plays a major role in the pathogenesis of alzheimer's disease (ad) of sporadic origin. the expression of dhcr24 (seladin-1), marker for neuronal oxidative stress and degeneration, has been reported to be altered in the brains of ad patients. in the present study, we investigated the effect of trimetazidine (tmz) on the hippocampal oxidative parameters and the expression of dhcr...

We evaluated the role of several proteins that are likely to be involved in alzheimers disease (AD) and type 2 diabetes mellitus (T2DM). By employing multiple sequence alignment using Clustalw tool, we have constructed a phylogenetic tree based on the functional protein sequences extracted form NCBI. The phylogram was constructed using neighbor joining algorithm. Our bioinformatic analysis repo...

Although the vast majority of Alzheimer’s disease (AD) cases are of the sporadic type, mutations causing the familial form have been the focus of AD research for decades. The disease is pathologically characterised by β-amyloid (Aβ) and tau protein aggregates in neuritic plaques and neurofibrillary tangles. Furthermore, it is known that AD pathology spreads throughout the brain, most often alon...

Alzheimer’s disease (AD) is the most common form of dementia and phenotypically heterogeneous. APOE a triallelic gene which correlates with phenotypic heterogeneity in AD. In this work, we determined effect alleles on progression timeline AD using discriminative event-based model (DEBM). Since DEBM data-driven model, stratification into smaller subgroups would lead to more inaccurate models as ...

With longer life expectancy, dementia based on the age-related Alzheimers' disease (AD) has turned into one of the most prevalent disorders of older age, representing a serious medical and socio-economic issue. There has been growing interest in early diagnosis of this disease, particularly regarding the initiation of new treatment strategies ahead of the onset of irreversible neuronal damage. ...

This paper investigates the use of semi-supervised learning (SSL) for predicting Alzheimers Disease (AD) conversion in Mild Cognitive Impairment (MCI) patients based on Magnetic Resonance Imaging (MRI). SSL methods differ from standard supervised learning methods in that they make use of unlabeled data in this case data from MCI subjects whose final diagnosis is not yet known. We compare two wi...