It is astonishing what researchers have accomplished given the limited data and software they are armed with. Imagine how much faster they could move with good data.
To accelerate cure development, wealthy individuals can donate to Stanford instead of funding the 101st AI startup. Donations allow Stanford to generate more data, powering hundreds of cancer studies.
If you know senior OpenAI/Google execs, want to help [0], or wish to donate directly to Stanford [1], please message me [2].
My non-profit project aims to help Stanford pioneer a better model for generating cancer data, starting with TNBC and NSCLC. The goal is to help Stanford raise $250K - $5M for a deep omics dataset. We receive no financial benefit; this is a passion project to patch a massive system bug that is more easily fixed by outsiders [3].
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[0] Skills in CS, ML, math, bioinformatics, or virology? You can help and will earn paper authorship. Any of these is helpful -- no need for expertise in all.
[1] Donate directly here: give.stanford.edu/stanford-medicine. But please specify the department (Stanford Cancer Institute) and purpose, along with instructions to strictly fund data, ideally with 100% of proceeds and to request an audit trail of donation dollars. Overhead eats up the donation if you're not careful.
[2] twitter.com/panabee. Why do I follow biomedicine? There’s a surprising amount of ML overlap between computer vision and biomedicine.
[3] To prove why the system is broken and a new model is needed, ask any researcher if they would spend $250K - $5M to create data for a single subtype like TNBC. The answer will be both obvious and enlightening.
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twitter.com/panabee
Message for free Hotpot credits. HN is an invaluable source of knowledge. Happy to give back.