AlziDetect
The future of Alzheimer's risk flagging and support
0% of Alzheimer's patients are undetected.
AlziDetect is one of the world's first early Alzheimer's risk screening platforms. Using MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns reported in Alzheimer's research, we flag early risk signals in under ~10 min.
Learn About Our Research
The Problem with Traditional Methods
High Cost
Long Wait Times
Lack of Accessibility
Our Solution: The AlziDetect Ecosystem
Our ecosystem centers around early risk screening through our proprietary gaze screening, supported by clinician-guided education, continuous progress monitoring, and memory preservation tools.
Gaze Screening
Tracking vertical eye-face coupling patterns from MediaPipe's 468-point facial landmarks to flag early risk signals.
Clinician-guided Education & Support
Access clinician-led education and support to understand screening results and possible next steps.
Progress Monitoring
Track screening trends over time with AI-powered analytics to support follow-up conversations.
Memory Preservation Tools
Preserve precious memories with our AI-assisted memory recording and organization system.
Our Impact
Early Risk Screening
Flagging risk patterns years before traditional evaluation, enabling earlier follow-up when support is most effective.
Cutting Costs
By making screening accessible from home, we're removing barriers that prevent millions from getting timely follow-up.
Reducing Time
From weeks of waiting to screening results in under 10 minutes, enabling faster follow-up when it matters most.
Move seamlessly between screening, experts, and tracking.
Run the gaze screening
Use your laptop camera for a fast, non-invasive screening in under three minutes.
Coming soonClinician-guided education & support
Share context, get evidence-backed education, and understand when to seek follow-up care.
Coming soonTrack your progress
See historical scores, export reports, and keep caregivers aligned on next steps.
Coming soonHow we developed our models from the ground up
Data
Proprietary data taken from our clinic and hospital partners.
Design
Architect innovative testing protocols and analysis frameworks optimized for early risk screening.
Experiment
Launch targeted data collection and validation studies with clinical partners.
Train
Develop and train AI models on comprehensive datasets to achieve strong screening performance.
Validate
Rigorously test and validate model performance against clinical standards.
Deploy
Scale the platform to serve patients and healthcare providers continuously.
Flowchart for AI & facial landmark comparison to provide an early risk flag
i. Data
Proprietary data taken from our clinic and hospital partners.
ii. Design
Architect innovative testing protocols and analysis frameworks.
iii. Experiment
Launch targeted data collection and validation studies.
iv. Train
Develop and train AI models on comprehensive datasets.
v. Validate
Rigorously test model performance against clinical standards.
vi. Deploy
Scale the platform to serve patients and providers.
Our platform is designed for both patients and healthcare providers who need accessible, comprehensive support throughout the care journey.
Partnering with Researchers
Our technology is built on a foundation of rigorous scientific research and validated through partnerships with leading medical institutions.
Research Foundations
Our screening algorithms are based on peer-reviewed research from leading medical journals and institutions worldwide.
MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns
Clinical Partnerships
We work closely with hospitals and clinics to validate our technology in real-world clinical settings.
Proprietary data collection and validation studies with clinical partners
Published Research
Our methodology is backed by peer-reviewed research from leading medical institutions.
Nam, U. et al. (2020) 'Analyzing Facial and Eye Movements to Screen for Alzheimer's Disease', Sensors, 20(18).
Academic Collaboration
Continuous collaboration with research institutions ensures our technology stays at the forefront of early risk screening research.
Focused gaze screening using MediaPipe facial landmarks and vertical eye-face coupling patterns
Meet the Team
Our team is dedicated to developing the best possible technology for early Alzheimer's risk screening and care support.
Ryan Zhu
Ali-Mansur Valiyev
Harihar Rengan
Eklavya Tomar
Neil Sharma
Our Progress
Multi-Modal Research Collaboration Launched
Partnership with Professors Base in Hong Kong for EEG + eye-tracking fusion research.
All Updates