An efficient combination of quadruple biomarkers in binary classification using ensemble machine learning technique for early onset of Alzheimer disease

R Kumari, A Nigam, S Pushkar - Neural Computing and Applications, 2022 - Springer
BackgroundAlzheimer's disease (AD) is a degenerated condition of the brain where memory
loss is fully depleted for elderly individual. Efficient machine learning methods are …

[HTML][HTML] Biomarkers in frontotemporal dementia: Current landscape and future directions

A Gifford, N Praschan, A Newhouse… - Biomarkers in …, 2023 - Elsevier
Frontotemporal dementia (FTD) is one of the most common neurodegenerative diseases,
encompassing a myriad of different, clinically distinct subtypes which all target the …

The role of plasma neurofilament light chain and glial fibrillary acidic protein in subjective cognitive decline and mild cognitive impairment

S Mazzeo, A Ingannato, G Giacomucci, S Bagnoli… - Neurological …, 2024 - Springer
Introduction and aim NfL and GFAP are promising blood-based biomarkers for Alzheimer's
disease. However, few studies have explored plasma GFAP in the prodromal and preclinical …

Evaluation of the Polygenic Risk Score for Alzheimer's Disease in Russian Patients with Dementia Using a Low-Density Hydrogel Oligonucleotide Microarray

A Ikonnikova, A Morozova, O Antonova… - International Journal of …, 2023 - mdpi.com
The polygenic risk score (PRS), together with the ɛ4 allele of the APOE gene (APOE-ɛ4),
has shown high potential for Alzheimer's disease (AD) risk prediction. The aim of this study …

PSEN2 Thr421Met mutation in a patient with early onset Alzheimer's disease

YS Yang, E Bagyinszky, SSA An, SY Kim - International Journal of …, 2022 - mdpi.com
Presenilin-2 (PSEN2) mutation Thr421Met was identified from a 57-years old patient with
early onset Alzheimer's disease (EOAD) for the first time in Korea. Previously, this mutation …

A 3D Convolutional Neural Network Approach for Diagnosing Alzheimer's Disease using Modified Owl Search Optimization Technique

R Kumari, S Goel, S Das - TENCON 2022-2022 IEEE Region …, 2022 - ieeexplore.ieee.org
Understanding the early stages of Alzheimer's disease (AD) is proving critical for treating the
disease and preventing future degeneration. Doctors would examine patients more …

A Patch Based 3D CNN Approach for Diagnosing Early Stages of Alzheimer's Disease by Applying OBL-WOA Algorithm

R Kumari, S Goel, S Das - … on Cloud Computing and Big Data …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is one of the most degraded neurodegenerative brain disorders,
with no treatments involved. Understanding the early stages of Alzheimer's disease would …

Event-Related Potential Markers of Subject Cognitive Decline and Mild Cognitive Impairment during a sustained visuo-attentive task

AA Vergani, S Mazzeo, V Moschini, R Burali, M Lassi… - bioRxiv, 2024 - biorxiv.org
INTRODUCTION. Subjective cognitive decline (SCD), mild cognitive impairment (MCI), or
severe Alzheimer's disease stages are still lacking clear electrophysiological correlates …

Alzheimer's disease CSF biomarker profiles in idiopathic normal pressure hydrocephalus

S Mazzeo, F Emiliani, S Bagnoli, S Padiglioni… - Journal of Personalized …, 2022 - mdpi.com
Patients with idiopathic normal pressure hydrocephalus (iNPH) frequently show pathologic
CSF Aβ42 levels, comparable with Alzheimer's Disease (AD). Nevertheless, the clinical …

Cerebral amyloid load determination in a clinical setting: interpretation of amyloid biomarker discordances aided by tau and neurodegeneration measurements

M Nerattini, F Rubino, A Arnone, C Polito… - Neurological …, 2022 - Springer
Background Alzheimer's disease (AD) diagnosis can be hindered by amyloid biomarkers
discordances. Objective We aim to interpret discordances between amyloid positron …