Background As the ageing population continues to grow in many countries, the prevalence
of geriatric diseases is on the rise. In response, healthcare providers are exploring novel …

Abstract Background and Aims All fields have seen an increase in machine‐learning
techniques. To accurately evaluate the efficacy of novel modeling methods, it is necessary to …

Background Older adults and individuals with decreased cognition often experience
appetite changes and weight loss. As weight loss can result in cognitive decline, change in …

Background: Dementia is one of the pathologies that has increased the most among the
older population (mainly Alzheimer's disease), and it has a direct impact on the quality of life …

Neurodegenerative illnesses, some of the most common diseases affecting public health,
are affecting an increasing number of nations on a daily basis. Alzheimer's disease (AD) and …

Neurodegenerative diseases, such as Alzheimer's and Parkinson's, pose significant
challenges to global healthcare systems due to their increasing prevalence and the …

With the evolution of biometric technology, this research embarks on a multidimensional
exploration, encompassing design innovation, ethical scrutiny, and the application of …

Objective: To compare first-and second-generation tau PET tracer efficacy in patients with
atypical parkinsonisms (APs), represented by progressive supranuclear palsy (PSP) and …

Elemental packing plays a fundamental role in understanding the behaviour of materials at
the atomic level, influencing their mechanical, thermal, and electrical properties …

This chapter deals with the basic understanding of the deep learning model. It starts with a
view of artificial intelligence, machine learning, and deep learning. It also represents how …