Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

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 ...

Algorithms that can detect subtle changes in a person’s voice are emerging as a potential new diagnostic tool for Parkinson’s disease, according to researchers from Iraq and Australia. Speech ...

A machine learning model differentiated Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. AUROCs and predictive values for distinguishing Parkinson's from mimics were ...

A new study has revealed promising progress in developing a non-invasive sampling method to detect early signs of Parkinson's disease—up to seven years before motor symptoms appear—by analyzing the ...

A slow turn in a hallway can feel meaningless. Over a decade, it may tell a deeper story about your brain. A collaborative ...

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% ...

Smartwatches have evolved far beyond their original function of timekeeping and fitness tracking. Today, they are becoming instrumental tools in monitoring our health and detecting early signs of ...

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 ...