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 and indicate when further clinical evaluation may be appropriate.

1
The Problem

The Problem with Traditional Methods

High Cost

Brain MRI Cost (Up To)
$0
Source: CareCredit - brain MRI cost range includes a high-end estimate of $8,400. View source

Long Wait Times

Time to Clinical Evaluation
0 days
Source: Medscape summary of meta-analysis reporting multi-year delays to dementia clinical evaluation. View source

Lack of Accessibility

US map showing rural healthcare accessibility gaps
46 million Americans live in rural areas with limited access to specialized Alzheimer's care.
2
Features

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 to coordinate follow-up care.

Gaze Screening

Tracking vertical eye-face coupling patterns from MediaPipe’s 468-point facial landmarks to flag early risk signals.

Gaze test interface

Clinician-guided Education & Support

Access clinician-led education and support to understand screening results and possible next steps.

Expert consultation

Progress Monitoring

Track screening trends over time with AI-powered analytics to support follow-up conversations.

Progress monitoring dashboard

Memory Preservation Tools

Preserve precious memories with our AI-assisted memory recording and organization system.

Memory preservation tools
3
Our Impact

Our Impact

Early Risk Screening

Early Screening Traditional Evaluation 5-7 years earlier

Flagging risk patterns years before traditional evaluation, enabling earlier follow-up when support is most effective.

Cutting Costs

$0

By making screening accessible from home, we're removing barriers that prevent millions from getting timely follow-up.

Reducing Time

Faster Slower
MRI Scans
2 months
AlziDetect
10 min
360× faster

From weeks of waiting to screening results in minutes, enabling faster follow-up when it matters most.

Trusted collaboration
Memory Care Clinics Neuro Research Cohorts Caregiver Networks AI Safety Reviewers
“The guided tests and clear reports help us move from screening to next steps in a single visit.”
- Clinical coordinator, pilot program
5
Process

How we developed our models from the ground up

i.

Data

Proprietary data taken from our clinic and hospital partners.

ii.

Design

Architect innovative testing protocols and analysis frameworks optimized for early risk screening.

iii.

Experiment

Launch targeted data collection and validation studies with clinical partners.

iv.

Train

Develop and train AI models on comprehensive datasets to achieve strong screening performance.

v.

Validate

Rigorously test and validate model performance against clinical standards.

vi.

Deploy

Scale the platform to serve patients and healthcare providers continuously.

Flowchart for AI & facial landmark comparison

Flowchart for AI & facial landmark comparison to provide an early risk flag

Spearman's Rank Correlation Data

Our method is backed by rigorous science (PubMed): Spearman's Rank Correlation Data, comparing subtle differences in iris and facial movements between control and Alzheimer’s research cohorts.

Citation: Nam U, Lee K, Ko H, Lee JY, Lee EC. Analyzing Facial and Eye Movements to Screen for Alzheimer's Disease. Sensors (Basel). 2020 Sep 18;20(18):5349. doi: 10.3390/s20185349. PMID: 32961984; PMCID: PMC7570590.

i. Data

Proprietary data taken from our clinic and hospital partners.

ii. Design

Architect innovative testing protocols and analysis frameworks optimized for early risk screening.

iii. Experiment

Launch targeted data collection and validation studies with clinical partners.

iv. Train

Develop and train AI models on comprehensive datasets to achieve strong screening performance.

v. Validate

Rigorously test and validate model performance against clinical standards.

vi. Deploy

Scale the platform to serve patients and healthcare providers continuously.

Our platform is designed for both patients and healthcare providers who need accessible, comprehensive support throughout the care journey.

6
Scientific Backing

Partnering with Researchers

Our technology is built on a foundation of rigorous scientific research and validated through partnerships with leading medical institutions and research organizations.

🔬

Research Foundations

Our screening algorithms are based on peer-reviewed research from leading medical journals and institutions worldwide.

Key Research Area:

MediaPipe facial landmark tracking (468 points) and vertical eye-face coupling patterns reported in Alzheimer’s research

🤝

Clinical Partnerships

We work closely with hospitals and clinics to validate our technology in real-world clinical settings.

Partnership Focus:

Proprietary data collection and validation studies with clinical partners

📚

Published Research

Our methodology is backed by peer-reviewed research from leading medical institutions.

🎓

Academic Collaboration

Continuous collaboration with research institutions ensures our technology stays at the forefront of early risk screening research.

Ongoing Research:

Focused gaze screening using MediaPipe facial landmarks and vertical eye-face coupling patterns

7
About the Team

Meet the Team

Our team is dedicated to developing the best possible technology for early Alzheimer’s risk screening and care support.

Ryan Zhu

Ryan Zhu

Founder

Passionate Neurobiologist and Entrepreneur

Ensuring healthcare access is available to everyone

Ali-Mansur Valiyev

Ali-Mansur Valiyev

Co-Founder

Entrepreneur & Systems Designer

Making early risk screening accessible.

Eklavya Tomar

Eklavya Tomar

AI and web engineer

AI and Health Integrated Engineer

Engineering meaningful solutions.

Harihar Rengan

Harihar Rengan

Backend & AI Engineer

Entrepreneur & Full-stack Developer

AI for real-world impact.

Neil Sharma

Neil Sharma

AI Engineer

Programmer in Healthcare AI

Technology that improves lives.

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