Application of deep learning for prediction of alzheimer's disease in PET/MR imaging

Y Zhao, Q Guo, Y Zhang, J Zheng, Y Yang, X Du… - Bioengineering, 2023 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
people worldwide. Positron emission tomography/magnetic resonance (PET/MR) imaging is …

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

MA Khan, H Asadi, L Zhang, MRC Qazani… - Expert Systems with …, 2024 - Elsevier
Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …

Cerebral hyperactivation across the Alzheimer's disease pathological cascade

N Corriveau-Lecavalier, JN Adams… - Brain …, 2024 - academic.oup.com
Neuronal dysfunction in specific brain regions or across distributed brain networks is a
known feature of Alzheimer's disease. An often reported finding in the early stage of the …

Prediction of misfolded proteins spreading in Alzheimer's disease using machine learning and spreading models

L Gherardini, A Zajdel, L Pini, A Crimi - Cerebral Cortex, 2023 - academic.oup.com
The pervasive impact of Alzheimer's disease on aging society represents one of the main
challenges at this time. Current investigations highlight 2 specific misfolded proteins in its …

Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers

C Dang, Y Wang, Q Li, Y Lu - Psychoradiology, 2023 - academic.oup.com
Alzheimer's disease (AD) is the most common cause of dementia. Neuropathological
changes in AD patients occur up to 10–20 years before the emergence of clinical symptoms …

Machine Learning Approach for Early Diagnosis of Alzheimer's Disease Using rs-fMRI and Metaheuristic Optimization with Functional Connectivity Matrices

YB Özçelik, A Altan, C Kaya - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Alzheimer's disease is a cognitive disease that occurs with memory loss and usually occurs
in older ages. Nowadays, considering that the risk of Alzheimer's increases every year as …

Doença de Alzheimer: é possível prevenir?

RIJCK Leite, BT da Costa… - … Journal of Health …, 2024 - ojs.brazilianjournals.com.br
Milhões de pessoas sofrem com a Doença de Alzheimer e ainda não há um tratamento-
padrão que consiga parar ou reverter a descendente espiral da doença. Este estudo …

Research progress of large-scale brain network of Alzheimer's disease based on MRI analysis.

HAN Ying-mei, LI Yijie, Z Heng… - Journal of Practical …, 2024 - search.ebscohost.com
With the advent of an aging society, Alzheimer's disease (AD) has gradually become a major
ailment affecting the elderly. AD is a neurodegenerative disorder associated with cognitive …

[PDF][PDF] Farmácia São José, Coimbra e Serviços Farmacêuticos do Centro Hospitalar e Universitário de Coimbra, EPE, Coimbra

DL da Silva Lourenço - 2022 - repositorio-aberto.up.pt
Daniela Leitão da Silva Lourenço Page 1 Daniela Leitão da Silva Lourenço 2021-2022 Page 2
I Faculdade de Farmácia da Universidade do Porto Mestrado Integrado em Ciências …

A Potential Role for GLCM-based textural parameters in the Study of Alzheimer's disease as measured by PiB PET images

FL Amado - 2022 - baes.uc.pt
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases and the
most common cause of dementia, affecting around 150 million people worldwide. It is widely …