Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …

Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …

Objectives: The main goal of this review is to intro-duce the work with various conversational
datasets containing data from patients suffering from Alzheimer's disease. The basic …

It is vital to investigate changes in tea land use patterns in key tea-growing regions, which
are among the most vulnerable to climate change. The objective of this research was to …

Background There are now approximately 450 discrete inborn errors of immunity (IEI)
described; however, diagnostic rates remain suboptimal. Use of structured health record …

This paper presents a CMOS-based analog neuron circuit that utilizes a multi-level analog
memory that is useful for mixed signal neural networks. The implementation of neural …

Responsible software systems in digital health aim to prioritize ethical considerations, user
safety, data privacy, transparency, inclusivity, accountability, sustainability, and …

This study presents a novel approach for the diagnosis and prediction of the stages of
Alzheimer's disease. The aim of the study is to create a dataset for Alzheimer's disease …

Alzheimer's disease, a progressive neurological disorder, is one of the most common
causes of dementia. This is one of the widely studied disorders to understand the changes in …

Background: Several research studies conducted on the accuracy of machine learning and
NLP in disease screening tests, disease diagnosis, predicting survival prognosis and …