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Inspiration

Effective healthcare AI solutions require large volumes of diverse data, which is scarce

Difficulty of creating large Healthcare Datasets

What it does

Healthcare Ai market place powered by federated learning.

How we built it

We didn't build an mvp, but checked the feasibility of the tech.

Challenges we ran into

GDPR regulations within EU. We solved it by picking a different starting market, until Federated Machine Learning is better classified under GDPR regulation.

Accomplishments that we're proud of

Figuring out a platform structure that has the potential to accelerate Ai development and democratise adoption.

What we learned

Machine learning within the medical field is very complicated. There is significant investment into the federated machine learning space, but no established players yet.

What's next for Koios

Investment to build MVP. Building key partnerships within the medical industry.

Built With

  • keras
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