Let’s Automate
Clinical Research
We want everyone to have a free superintelligent robot doctor that can automate clinical research to help the 2 billion people suffering from chronic illness.
2 billion people are suffering from over 7000 diseases.
– Current methods of clinical research are:
Slow
Even after a treatment is discovered, it takes at least a decade to get it to patients. This means millions of people continue to suffer and die while they’re waiting.
Expensive
It costs over a billion dollars on average to get a drug approved. It can cost over $48k per patient in a clinical trial. This means tons of life-saving treatments don’t have enough money to make it to market.
Imprecise
85% of people with depression are excluded from clinical trials. They’re excluded if they use drugs or alcohol, other medications, have other health conditions. As a result, treatments almost never work as well for real patients as they do in trials.
Small
Clinical trials are also very small. Sometimes they have as few as 20 participants. So they don’t have enough statistical power to detect the effects of drugs on rare side effects or subgroups of people. This also makes it impossible to detect the full range of possible benefits of a treatment.
Solution 👉
Make clinical research 100X faster, cheaper, and more precise by giving everyone an AI agent for:
Automated
Data Collection
An AI agent could automatically import data from medical records, food, medications, and supplement receipts, wearable devices, health apps, and ask you to rate symptom severity over time.
Automated
Data Analysis
It could then apply causal inference analysis to calculate the effects of all foods and drugs on symptom severity. It could then aggregate everyone’s data and automatically publish this research for everyone.
Automated
Decision-Support
Powered by millions of scientific studies, the AI would be able to precise cost-benefit analysis to determine the best thing you could do at any given time to treat or prevent disease.
Automated
Clinical Trials
It could then apply causal inference analysis to calculate the effects of all foods and drugs on symptom severity. It could then aggregate everyone’s data and automatically publish this research for everyone.