Identifying and utilising various biomarkers for tracking Alzheimer's disease (AD)
progression have received many recent attentions and enable hel** clinicians make the …

Parkinson's disease (PD) is the second most prevalent dementia in the world. Wearable
technology has been useful in the computer-aided diagnosis and long-term monitoring of …

Multi-task learning is a machine learning paradigm, that aims to leverage useful domain
information to help improve the generalization performance of all tasks. Learning the …

Alzheimer's disease (AD), the most prevalent dementia, gradually reduces the cognitive
abilities of patients while also posing a significant financial burden on the healthcare system …

Recently, there have been a wide spectrum of multitask learning (MTL) methods developed
to model Alzheimer's disease (AD) progression. Typical MTL studies related cognitive ability …

Alzheimer's disease (AD) is the leading cause of dementia worldwide, characterized by its
gradual progression and the subtle variations across disease stages, which pose significant …

Precision fertilization is essential in agricultural systems for balancing soil nutrients,
conserving fertilizer, decreasing emissions, and increasing crop yields. Access to …

As the population rapidly ages, Alzheimer's disease (AD), the most common form of
dementia, urgently requires the identification of reliable structural brain biomarkers and the …

Multi-task feature learning (MTFL) methods play a key role in predicting Alzheimer's disease
(AD) progression. These studies adhere to a unified feature-sharing framework to promote …

Internet of Things (IoT) Wearable technology plays a crucial role in assisting the diagnosis of
Parkinson's disease (PD), and an efficient model for auxiliary diagnosis of the severity of PD …