Background In recent years, healthcare systems have progressively adopted several
technologies enhancing access to healthcare for older adults and support the delivery of …

Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …

Although levodopa remains the most efficacious symptomatic therapy for Parkinson disease
(PD), management of levodopa treatment during the advanced stages of the disease is …

Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As
disease progresses, fluctuations in the response to levodopa treatment may develop, along …

Background Approximately 1 in 3 adults live with multiple chronic diseases. Digital health is
being harnessed to improve continuity of care and management of chronic diseases …

Background Parkinson's disease (PD) is a progressive neurodegenerative disease with a
fast increasing prevalence. Several pharmacological and non-pharmacological …

Motor impairments are among the most relevant, evident, and disabling symptoms of
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …

Biological researchers are seeing organelles in a new light. These cellular entities have
been believed to be singular and distinctive structures that performed specialized purposes …

Parkinson's disease (PD) is a neurodegenerative disorder characterised by motor symptoms
such as gait dysfunction and postural instability. Technological tools to continuously monitor …