Apheris: Bridging the AI Data Gap in Life Sciences with Federated Computing
Apheris empowers AI in life sciences by enabling secure, decentralized data sharing for faster drug discovery and improved patient outcomes.
Matilda
Apheris: Bridging the AI Data Gap in Life Sciences with Federated Computing
Artificial intelligence (AI) has the potential to revolutionize healthcare, from drug discovery to personalized medicine. However, the vast majority of valuable health data remains untapped due to significant barriers: Privacy: Patient privacy is paramount, and sharing sensitive medical information raises serious ethical and legal concerns. Regulations: Strict regulations govern the use and sharing of healthcare data, making it difficult to leverage for AI research. Intellectual Property: Protecting intellectual property rights is crucial for both researchers and institutions, creating challenges for data collaboration. Apheris: A Federated Approach to AI in Life Sciences Apheris, a German startup, is tackling this "data bottleneck" head-on by embracing federated computing. This innovative approach allows AI models to be trained on data residing in its original location, eliminating the need for data movement. How it Works: Apheris's technology enables secure and decentralized…
