Understanding Parkinson’s.
Advancing Neurodegenerative Care.
Lihoury Technology develops privacy-first artificial intelligence solutions designed to objectively monitor human movement, gait, hands, voice and interactive motor assessment with Parkinson’s disease as our primary area of focus.
A new approach to monitoring
- Camera and microphone-based assessment
- Sensor-free and non-invasive approach
- AI-derived digital virtual markers
- Edge processing designed with privacy in mind
- Built for longitudinal monitoring and research
From subjective observation to objective measurement
Parkinson’s disease is a complex neurodegenerative disorder with both motor and non-motor manifestations. Clinical assessment traditionally relies on consultations, patient history and validated clinical rating scales.
Digital technologies can complement these approaches by enabling repeated, quantitative measurements of selected observable features over time.
Why Parkinson’s?
Parkinson’s includes characteristic motor features such as tremor, bradykinesia, rigidity and postural impairment, while also involving a broad range of non-motor manifestations. Standardized research frameworks recognize both motor and non-motor domains as important components of Parkinson’s assessment.
Lihoury Technology is developing AI tools that focus initially on observable digital virtual markers, particularly those that can be assessed through certified cameras and microphones.
What can AI observe?
Our technology explores measurable changes in physical and vocal behaviour without requiring the patient to wear dedicated movement sensors.
Hand Tremor
Analysis of movement amplitude, frequency, variability and temporal patterns.
Bradykinesia
Quantification of movement speed, amplitude and repetitive movement performance.
Finger Tapping
Objective analysis of tapping rate, amplitude, regularity and progressive changes.
Gait & Posture
Assessment of selected gait, balance, posture and movement characteristics.
Voice & Speech
Analysis of selected acoustic and temporal characteristics of speech and voice.
AI monitoring without wearable sensors
Lihoury Technology is developing a multimodal platform that combines computer vision and audio analysis to extract objective measurements from simple, familiar interactions.
Capture
A certified camera and microphone capture selected movements, facial expressions and voice characteristics during structured or natural tasks.
Analyse
AI models process movement and audio signals to identify measurable characteristics and calculate digital virtual markers.
Monitor
Repeated measurements can help researchers and clinicians investigate changes over time and evaluate patterns alongside clinical information.
Designed around real-world use
Our architecture is designed to bring AI analysis closer to the point of measurement while minimizing unnecessary data collection.
Sensor-Free
No dedicated wearable movement sensor is required for the core assessment approach.
Edge AI
Processing can be performed locally, supporting operation in environments with limited connectivity.
Privacy by Design
The architecture is designed to avoid unnecessary storage of raw audio and video recordings.
Quantitative
Observable features are transformed into numerical measurements suitable for longitudinal analysis.
Exploring other neurodegenerative diseases
The same multimodal AI principles may have applications beyond Parkinson’s. Our longer-term research vision is to investigate whether objective digital virtual markers can contribute to the study of a wider range of neurological disorders.
Alzheimer’s Disease
Research opportunities may include speech, facial and behavioural characteristics associated with cognitive and functional changes.
Huntington’s Disease
Quantitative analysis of involuntary movement, motor control and functional performance may provide useful digital measures for research.
ALS
Voice, speech, facial and movement characteristics could be explored as complementary digital measurements in research settings.
Multiple Sclerosis
Gait, balance, movement and speech-related measurements may offer opportunities for objective longitudinal research.
Related Movement Disorders
AI-derived movement virtual markers may also be investigated in conditions presenting with overlapping motor characteristics.
Other Disorders
We are interested in collaborating with clinical and academic partners to investigate additional applications of multimodal digital virtual markers.
From technology to evidence
AI-generated measurements are only valuable when they are clinically meaningful, reproducible and appropriately validated. Lihoury Technology therefore places clinical collaboration and scientific validation at the centre of its development.
Our objective is not to replace clinical judgement, but to provide additional quantitative information that may support research, monitoring and future clinical workflows.
- Development and validation of digital virtual markers
- Comparison with established clinical assessments
- Longitudinal monitoring of changes over time
- Research into treatment response and motor fluctuations
- Evaluation across different disease stages
- Collaboration with hospitals, research institutes and patient organisations
Privacy matters
Monitoring technologies involving cameras and microphones must be designed with privacy as a fundamental principle. Our architecture aims to minimize the collection and retention of personally identifiable audio and video data.
Where technically and clinically appropriate, analysis can be performed locally and the system can retain numerical measurements rather than continuous raw recordings.
Technology people can trust
The future of digital health will depend not only on what AI can measure, but also on how responsibly data is handled.
Lihoury Technology is building its platform around data minimisation, local processing where possible, security and transparent use of information.
Important: Lihoury Technology's AI platform is under development and clinical validation. The information on this page is provided for research and informational purposes and does not constitute medical advice, diagnosis or treatment. Digital virtual markers generated by the platform are not intended to replace assessment by qualified healthcare professionals. Any future medical claims, intended uses and regulatory status will depend on appropriate clinical validation and regulatory approval.
Help us advance digital monitoring in neurodegenerative disease
We are looking for clinical, academic and patient-organisation partners to validate digital virtual markers and explore new applications of AI-powered monitoring.
Contact Lihoury Technology