Generative adversarial networks (GANs) are one powerful type of deep learning models that
have been successfully utilized in numerous fields. They belong to the broader family of …

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to improve
Alzheimer's disease (AD) clinical trials. Since 2006, ADNI has shared clinical, neuroimaging …

Microwave heating is a promising solution to overcome the shortcomings of conventional
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …

Several (inter) national longitudinal dementia observational datasets encompassing
demographic information, neuroimaging, biomarkers, neuropsychological evaluations, and …

With dementia incidence projected to escalate significantly within the next 25 years, the
United Nations declared 2021-2030 the Decade of Healthy Ageing, emphasising cognition …

Objective Debate surrounds the role of chronic pain as a risk factor for cognitive decline and
dementia. This study aimed at examining the association of chronic pain with biomarkers of …

Alzheimer's disease (AD) is a neurodegenerative condition that progresses over decades.
Early detection of individuals at high risk of future progression toward AD is likely to be of …

Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …

Missing value issue is often encountered in international Neuroscience and Neuroimaging
databases. As many statistical methods and Machine Learning (ML) algorithms are not …

Exploring the effects of operating parameters and microalgae composition on product
distribution and properties using machine learning is an effective and economical approach …