QuantiModo - Open Source Health Data Research
Ending Suffering With Math
50,000+ scientific studies proving we can discover what improves health and happiness through data analysis.
This research shows why we need to accelerate clinical discovery and end preventable suffering.
Browse 50,000+ Studies Join the War on Disease Open Source dFDA
Discover
Explore 50,000+ studies revealing what factors most influence health and happiness through data analysis.
Advocate
Join the War on Disease movement to redirect resources toward accelerating clinical research and ending preventable suffering.
Build
Contribute to the decentralized FDA (dFDA) open source project to democratize and accelerate drug discovery.
Accelerate
Help us 80X the pace of clinical discovery through crowdsourced research and data-driven insights.
Part of the open source dFDA ecosystem - accelerating the discovery of treatments for the 95% of diseases that lack FDA-approved solutions.
Who We Help
Developers & Researchers
By contributing to the success of QuantiModo, you'll enjoy ongoing royalties in proportion to your contributions.
Health Platforms
Apple Health, Fitbit, and other platforms can integrate with QuantiModo to provide users with deeper insights from their health data through our analytics engine.
Users & Patients
Discover what improves YOUR health through personal analytics. Get real-time insights to optimize your diet, sleep, exercise, and supplements based on your own data.
Digital Health
Health startups can use our platform to reduce development costs by 80%. Focus on your unique value proposition instead of rebuilding data aggregation, analytics, and visualization features.
Non-Profits
Disease advocacy organizations can run studies for specific conditions using our platform. Engage members in meaningful research instead of traditional charity walks.
Government
Reduce healthcare costs through preventive insights discovered from population health data. Countries using shared open-source infrastructure can reduce development costs significantly.
You have 2 options.
Option 1.
Wait decades for the current system to maybe find cures
Option 2.
Help us automate clinical research and accelerate discovery
2 Billion People are SUFFERING
from chronic diseases like depression, fibromyalgia, Crohn's disease, and multiple sclerosis. There are over 7000 diseases that we still don't have cures for.
Since the 1990's, we've seen a continual rise in the incidence of Chronic Diseases
The ONLY thing that has changed is the
chemicals in your food
Unfortunately, Clinical Research is SLOW, EXPENSIVE, and IMPRECISE
- 💸 It costs about $2.6 billion and takes about 12 years to bring a new drug to market
- 🐌 We only approve around 30 drugs a year
- ⏰ It would take over 350 years to find all the cures at this rate!
- 💀 So, you'll be long dead by then.
80% of Clinical Trials Fail Due to Insufficient Participants
Yet
Less than 1% of People with Chronic Diseases Participate in Clinical Research
So should we just wait for the sweet release of death?
Good News!
There could be billions of cures we don't even know about yet!
Of the 166 billion potential medicinal molecules, we've only tested 0.00001%. That means we've barely scratched the surface of potential treatments.
NO! We can fix it with the power of robots!
Imagine if we could automate clinical research!
The cost savings from automating clinical research could save $360 billion annually in healthcare costs through preventative care discoveries.
Our Impact
Automated Data Collection
Electronic Health Records
Seamlessly import from EHRs
Digital Health Apps
Connect to fitness and health tracking apps
Lab Results
Automatically import lab test results
Wearable Devices
Real-time data from wearables
Automated Data Analysis
Once we've collected enough data, the fun part begins! We use advanced algorithms to analyze all this data and discover hidden patterns.
Personal Studies
Get personalized insights about what factors most influence YOUR health.
Onset Delays
One example of causal inference involves applying forward and reverse lagging of the depression and exercise data. The result suggests a causal relationship based on the temporal precedence of physical activity.
Duration of Action
Understanding how long effects last after treatment or exposure
Effortless Trial Participation
through automated:
1
Trial Search
If you're one of the inadequately treated 2 billion chronically ill and nothing else has worked for you, it should find you the most promising new treatment available.
2
Trial Enrollment
If you want to participate, it should automatically enroll you and get the treatment shipped to you or whatever.
3
Data Collection
The FDAi should automatically schedule all the tests and collect all the data to determine the safety and efficacy of the treatment.
4
Data Analysis and Publishing
The FDAi should then analyze and anonymize the data and publish the results for everyone.
Mega Studies
By aggregating data from millions of people, we can discover insights that would be impossible in traditional small-scale clinical trials.
Outcome Labels
Just like nutrition labels help you make informed decisions about food, outcome labels show you the likely effects of medications and treatments based on real-world data.
Democratizing Discovery Through Citizen Science
Everyone should have the power to contribute to medical research. By participating in data collection and analysis, you're not just helping yourself—you're helping advance medical science for everyone.
Global-Scale Studies
Traditional clinical trials are limited by geography, cost, and time. By leveraging digital health data from around the world, we can conduct studies at unprecedented scale.
The FDAi Act: Accelerating Drug Discovery
We need policy changes to make this vision a reality. The FDAi Act would create a framework for safe, privacy-preserving medical research at scale.