Metanova Labs Innovates Drug Discovery with Decentralized AI
- Metanova Labs utilizes decentralized AI via the Bittensor network to efficiently screen billions of molecules, aiming to revolutionize drug discovery.
- Bittensor incentivizes contributions to AI models with crypto rewards, supporting applications like drug discovery and compute resource rental.
- The traditional drug discovery process is costly and lengthy, averaging $2.6 billion and ten years per drug.
- Metanova’s decentralized virtual screening proof of concept launched on March 1, expanding potential molecule datasets from one billion to approximately 65 billion through combinatorial reactions.
- The dual incentive mechanism allows miners to submit molecules or compete using chemical search algorithms, enhancing the virtual screening process.
Metanova Labs leverages a decentralized approach with Bittensor’s AI network to streamline drug discovery, significantly reducing costs and timelines by expanding molecular possibilities and incentivizing global creativity in the pharmaceutical industry.
Source (3.2)https://cryptobriefing.com/metanova-labs-bittensor-revolutionizes-drug-discovery-with-decentralized-virtual-screening-combinatorial-reactions-expand-possibilities-to-65-billion-and-dual-incentives-drive-innovation-twist/?rand=59535