According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

Detecting early rising Parkinson's disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment interventions. In a new eNeuro paper, Daniil Berezhnoi, from Georgetown ...

A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...

Scientists have announced a breakthrough in Parkinson’s disease detection using a new immuno-infrared sensor (iRS) test that analyzes cerebrospinal fluid for protein misfolding, offering hope for ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

Artificial Intelligence (AI) is significantly impacting the healthcare sector, particularly in diagnosing rare diseases. One of the most intriguing advancements is AI’s newfound ability to detect ...

Study: Microbiome and metabolome integrated analysis: exploring potential diagnostic approaches for Parkinson’s disease using tongue coating samples. Image credit ...

Dogs trained to detect Parkinson’s disease using scent have shown remarkable accuracy in new research. In a double-blind trial, they identified skin swabs from people with Parkinson’s with up to 80% ...

Smiling videos can distinguish between people with and without Parkinson's disease, providing an easy, accessible, and cost-effective way to screen for Parkinson's, particularly when access to ...