Get the latest tech news
Apheris rethinks the AI data bottleneck in life science with federated computing
AI is fundamentally dependent on data, but the vast majority of health data goes unused for understandable reasons — chiefly patient privacy, regulation
Apheris, Röhm’s startup, aims to address this through federated computing: making data securely accessible for AI model training without moving it by taking a decentralized approach. Originally, Röhm and his co-founder Michael Höh started the company in 2019 with the goal of building a federated learning framework that competed with open source approaches, based on their experiences at their previous startup, Janus Genomics. Also backed by existing investors including Octopus Ventures and Heal Capital, its new round brings its total funding to $20.8 million, which will help the company hire senior talent with life science backgrounds, also on the commercial side.
Or read this on TechCrunch