Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Neuroimaging foundation models pretrained on large, predominantly western cohorts are increasingly p...
Dynamic Time Warping (DTW) is the dominant approach for measuring similarity between time series, ye...
Tremor is a movement disorder characterized by involuntary, rhythmic oscillations of body parts and ...
Parkinson's disease is a progressive neurodegenerative disorder characterised by gradual deteriorati...
Recovering metric 3D geometry from monocular images is a fundamental computer vision task, yet curre...
Objective assessment of Freezing of Gait (FoG) in Parkinson's disease (PD) relies predominantly on w...
Objective quantification of motor abnormality in Parkinson's disease (PD) remains challenging becaus...
Objective and scalable approaches for detecting subtle motor impairment in isolated REM sleep behavi...
Stain normalization reduces color variations caused by variations in staining protocols and imaging ...
Deep brain stimulation (DBS) modeling relies heavily on biophysical neuron models to estimate neural...
Objective: Model-based closed-loop neural stimulation holds promise for therapeutic applications ran...
Inorganic solid-state electrolytes must combine high room-temperature ionic conductivity, a wide ele...
Aging is a progressive decline in biological function that is proposed to be driven by the accumulat...
We describe the winning entry to the MoCha 2026 Benchmark and Challenge on Parkinsonian Gait, which ...
Synaptic vesicle glycoprotein 2C (SV2C) is a vesicular protein enriched in dopaminergic neurons of t...
Neurodegenexrative diseases such as Alzheimer's disease and Parkinson's disease are diagnosed most r...
Parkinson's disease (PD) is the second most common neurodegenerative disorder. Typical machine learn...
Inspired by recent evidence that transformer architectures benefit from Self-PreTraining (SPT) on lo...
Neurological and mental-health conditions such as Parkinson's disease (PD) and major depressive diso...
Vision-language models (VLMs) remain unreliable when predictions require fine-grained visual evidenc...
Accurate gait analysis in Parkinson's disease (PD) typically relies on laboratory-based systems to c...