Month: June 2023

Boosting Alzheimer’s Disease Detection Using Memory Load

Imagine you’re at a bustling farmer’s market, trying to detect the ripest fruits in a sea of vibrant colors. When you’re not carrying much, it’s easier to notice the subtle variations in texture and smell that indicate the perfect produce. The same concept applies to detecting Alzheimer’s disease through speech-based tests. Researchers conducted a study […]

Published on June 2, 2023

Unlocking the Secrets of Neuronal ApoE4 in Alzheimer’s Disease

Imagine a bustling city with different neighborhoods, each playing a specific role. In our bodies, there’s a gene called Apolipoprotein E (ApoE) that acts like a neighborhood, with three types of residents – ApoE2, ApoE3, and ApoE4. Unfortunately, ApoE4 has been identified as the troublemaker in Alzheimer’s disease (AD). This mischievous resident can cause havoc […]

Published on June 2, 2023

A Two-Stage Neural Network for Parkinson’s Disease Stages

Just like a two-part dance routine, this study introduces a neural network model that classifies the initial stages of Parkinson’s disease. The first stage uses semantic segmentation to analyze the sensor signals and gather valuable biomechanical variables. In the second stage, a multidimensional neural network takes input from the biomechanical variables, spectrogram image, and raw […]

Published on June 2, 2023