No Hospital Has Enough Patients Alone 🏥
A rare disease might show up a dozen times in one hospital's records, which is nowhere near enough to learn from, and the rest of the cases sit across hundreds of other hospitals that are not allowed to share with each other.
$TAO already showed that strangers can build a serious model together, with more than 70 independent participants on its Templar subnet producing Covenant-72B in March, and apps on $SOL settle work every day between parties who never have to trust one another.
That kind of collaboration works when the data is something anyone is allowed to see, and a patient record is the opposite, so healthcare sits on huge amounts of data with almost none of it usable together.
On fundamentals I look for valuable assets nobody can put to work yet, and medical data is the clearest case, because the more valuable the data, the less anyone can use it.
Arcium lets several institutions compute on their combined records without any of them handing the records over, since each input is split into fragments across a cluster of nodes, no single node can read any of it, and the cluster still returns the correct result.
Each hospital keeps its files, and what comes out is the finding, a count, a comparison or a statistical result, never the rows behind it.
That result can be recorded on Solana as an ordinary public transaction, so anyone can check that the study ran and what it found.
The compute layer doing this has been on Mainnet Alpha since February 2, and Blackthorn, which extends it to AI models, is still to come.
Healthcare data is valuable and split into thousands of pieces, and I think the network that computes across them without collecting them ends up mattering more than any single model.
#AI
A rare disease might show up a dozen times in one hospital's records, which is nowhere near enough to learn from, and the rest of the cases sit across hundreds of other hospitals that are not allowed to share with each other.
$TAO already showed that strangers can build a serious model together, with more than 70 independent participants on its Templar subnet producing Covenant-72B in March, and apps on $SOL settle work every day between parties who never have to trust one another.
That kind of collaboration works when the data is something anyone is allowed to see, and a patient record is the opposite, so healthcare sits on huge amounts of data with almost none of it usable together.
On fundamentals I look for valuable assets nobody can put to work yet, and medical data is the clearest case, because the more valuable the data, the less anyone can use it.
Arcium lets several institutions compute on their combined records without any of them handing the records over, since each input is split into fragments across a cluster of nodes, no single node can read any of it, and the cluster still returns the correct result.
Each hospital keeps its files, and what comes out is the finding, a count, a comparison or a statistical result, never the rows behind it.
That result can be recorded on Solana as an ordinary public transaction, so anyone can check that the study ran and what it found.
The compute layer doing this has been on Mainnet Alpha since February 2, and Blackthorn, which extends it to AI models, is still to come.
Healthcare data is valuable and split into thousands of pieces, and I think the network that computes across them without collecting them ends up mattering more than any single model.
#AI
