NeuraLight
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About
NeuraLight is a precision neurology platform that leverages artificial intelligence to transform the way brain function is measured and monitored. By focusing on oculometrics—the study of eye movements—the platform provides objective, digital biomarkers that correlate with neurological health and disease progression. Unlike traditional clinical assessments that often rely on subjective scoring by physicians, NeuraLight uses computer vision and machine learning to extract precise data points from standard video recordings, offering a more consistent and scalable method for evaluating central nervous system (CNS) disorders. The technology works by analyzing subtle eye movements through a software-based platform. Using standard video capture, the system's algorithms process dozens of oculometric measures, such as saccadic intrusions and gaze patterns, which are known indicators of neurodegenerative status. This process is designed with ease-of-use as a first principle, allowing for high-fidelity data collection in various settings without the need for specialized hardware beyond a camera-enabled device. This approach integrates seamlessly into clinical workflows and research environments, providing sensitive and frequent data points that are difficult to capture through manual observation. The platform is primarily designed for pharmaceutical companies, clinical researchers, and medical centers involved in the development of treatments for CNS diseases. It is currently being utilized in trials and research for Parkinson’s Disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). By providing objective data throughout a trial's duration, it helps researchers better understand drug efficacy and patient response with greater precision than legacy clinical scales. What sets NeuraLight apart is its extensive foundation in peer-reviewed science and its ability to deliver detailed neurological insights through a non-invasive, software-only interface. The platform has been validated through multiple publications in leading medical journals. By augmenting traditional scales like the MDS-UPDRS III with objective AI-driven metrics, NeuraLight aims to reduce the noise in clinical data and accelerate the timeline for bringing life-changing neurological therapies to market.
Pros & Cons
Provides objective data compared to subjective manual clinical scales
Validated by multiple peer-reviewed publications in high-impact medical journals
Non-invasive data collection using standard video technology rather than specialized hardware
Supports monitoring for a wide range of CNS diseases including Parkinson's and ALS
Designed for easy integration into existing pharmaceutical clinical trial workflows
Requires high-quality video input to ensure accurate oculometric measurements
Currently targeted at enterprise clinical settings rather than individual healthcare providers
Public pricing information is not available as it requires custom partnership agreements
Use Cases
Clinical trial managers can use AI biomarkers to obtain more frequent and objective data on patient progression compared to intermittent in-person exams.
Neurology researchers can validate the efficacy of new CNS drug candidates by tracking subtle changes in oculomotor function over time.
Pharmaceutical companies can reduce the noise in clinical data by utilizing sensitive, digital endpoints for neurodegenerative diseases.
Platform
Task
Features
• machine learning diagnostic insights
• peer-reviewed validation
• multi-disease support (pd, ms, als)
• clinical trial integration
• software-based video processing
• objective brain function biomarkers
• computer vision gaze detection
• ai-powered oculometric analysis
FAQs
What neurological conditions does NeuraLight currently support?
NeuraLight's research and clinical partnerships focus on major neurodegenerative diseases, including Parkinson’s Disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). The platform extracts oculometric measures to track progression across these CNS disorders.
How does the platform collect neurological data?
The system uses computer vision and machine learning to analyze video recordings of a patient's eye movements. This software-based approach allows researchers to capture dozens of valuable oculometric measures without requiring specialized hardware.
Is NeuraLight's technology backed by clinical evidence?
Yes, the platform is supported by numerous peer-reviewed publications in journals such as Neurology and Acta Ophthalmologica. These studies validate the correlation between AI-extracted oculometric measures and traditional clinical disability assessments.
Pricing Plans
Clinical Enterprise
Unknown Price• Oculometric measure extraction
• Clinical trial partnership support
• Computer vision video analysis
• CNS disease progression tracking
• Peer-reviewed biomarker validation
• Custom data reporting
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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