Rare Compute, Fighting Rare Disease with AI & Web3
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About This Episode
In this episode of DevNTell Narb is joined by Stanley Bishop, co-founder of Rare Compute, who shares his journey and the mission behind Rare Compute, a decentralized biotech platform leveraging AI and Web3 to tackle rare diseases. Stanley draws from his extensive background in machine learning, notably his work on Google's Falcon language translation platform, and his personal experience as a rare disease patient. He emphasizes the potential of AI to improve patient outcomes and disrupt traditional healthcare systems through collaborative, data-driven research. Stanley also discusses the innovative use of humanized fly models for neurodegenerative disease research and highlights the importance of DeSci (Decentralized Science) in democratizing access to computing resources for rare disease researchers. The episode concludes with a look at current research sprints, including efforts to find treatments for myasthenia gravis, and the role of community engagement and open science in the future of biotech.
Key Takeaways
Rare Compute aims to democratize rare disease research by leveraging idle global computing power through a decentralized system.
The intersection of AI and Web3 allows for more transparent, collaborative, and patient-centered drug discovery.
Humanized fly models are an innovative and efficient way to test treatments for complex neurological conditions like Parkinson's.
DeSci offers a promising alternative to traditional funding models, which often overlook less profitable rare disease research.
Rare disease researchers face significant challenges in data fragmentation and resource access, which Rare Compute aims to solve.
Featured Guest
Stanley Bishop
Co-Founder @ Rare Compute
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