Robin Röhm highlighted that a major issue in AI solutions for life sciences is the underutilization of health data due to privacy, regulation, and IP protection, stating, 'This is the core underlying problem.' This underscores the conflict between the potential of AI and the legal frameworks that often hinder it.
Marcin Hejka explained Apheris's unique approach to federated computing: 'Computations are executed locally where data resides, and only the outputs are aggregated centrally.' This allows for secure data utilization without compromising patient privacy, which is essential in healthcare.
Hejka sees Apheris as a vital part of emerging federated data networks, saying, 'We see a maturing ecosystem of third-party software tools (open-source federation engines, data quality tools, and security products).' This reflects a growing industry demand for collaborative yet secure data practices.
Röhm recounted Apheris's evolution, stating, 'After our pivot in 2023 to focus on pharma and life sciences, we realized that addressing data owner concerns was crucial.' This shift represents a strategic realignment to meet market needs and enhance the value proposition for their clients.
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