Triple-negative breast cancer (TNBC) is an aggressive cancer that disproportionately targets younger patients. It accounts for approximately 10–15% of all breast cancers and is prevalent among women under 40. Due to limited treatment options, TNBC urgently requires more research to advance therapies and enhance patient outcomes.
Human researchers need data as much as AI models, but the system does not incentivize anyone to fund big datasets for tumor subtypes, even lethal ones like non-smoking lung cancer and TNBC.
Academics are motivated to diversify grants across multiple initiatives while clinicians are encouraged to focus on immediate impact.
This is a system bug, and people from outside must bridge the gap.
We seek to create field-changing datasets for TNBC and non-smoking lung cancer, and freely publish these datasets for researchers to study worldwide.
One of these datasets alone could power tens to hundreds of studies and hopefully set a new precedent for tackling tumor subtypes. Funding them is a powerful way to push cancer research forward.
The more data society gives researchers, the faster they can accelerate toward novel targeted therapies and screening programs.
To eliminate donor risk, donations go directly to Stanford. HotpotBio involvement is optional and would only entail advising on dataset guidelines and ensuring proceeds pay for data rather than overhead. No one from HotpotBio financially benefits.
In this world, there are perhaps 50 people who can understand this system bug, embrace contrarian perspectives, and streamline the risk/reward calculation due to extremely high net worth.
These founders and investors are trained in outside innovation. If you know any of these individuals, please share this page with them.
Clarence Hu
