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 TNBC.
Academics are motivated to diversify grants across multiple initiatives while clinicians are encouraged to focus on immediate impact.
Someone from outside the system must bridge the gap.
We seek to create an open, unprecedented dataset based on TNBC tumor samples and share the data globally.
Funding the TNBC dataset is a potent, efficient way to push cancer research forward. This one dataset could power tens to hundreds of studies and hopefully set a new precedent for tackling tumor subtypes.
The more data we give researchers, the more we can help them potentially accelerate toward new targeted therapies and screening programs.
To eliminate donor risk, donations are made directly to Stanford. HotpotBio involvement is optional and would only entail advising on dataset guidelines and how to ensure proceeds cover data rather than administrative overhead. (There is no crowdfunding page expressly to remove HotpotBio from the process.) No one from HotpotBio financially benefits.
In this world, there are perhaps only 50 people who will understand instantly why this system bug exists, feel comfortable with outsiders highlighting it, and possess a net worth that makes the risk/reward calculation straightforward.
These founders and investors are trained in outside innovation, and most have a tech background. If you know any of these individuals, please share this page with them.
