ARC Life science and health
Life science and health is one of ARC’s key application areas and societal challenges, with interfaces to research in AI, robotics and cybersecurity.
Life science and health
In life science and health, AI is uniquely positioned to leverage challenges in the field – from clinical diagnostics and personalised medicine to population-level health data – to inspire new AI solutions.
Working with medical data (which is often heterogeneous, multimodal, incomplete, and highly sensitive) provides opportunities to develop new AI approaches in representation learning, causal inference, federated and privacy-preserving learning, neuro-symbolic systems, explainability, automated treatment planning, and cybersecurity studies.
ARC
The mission aligns with ARC's vision to foster AI and robotics research that addresses real-world societal challenges in critical areas while advancing fundamental scientific knowledge.
Tomorrow
ARC Life Science and Health focuses on how the integration of AI methods in life science and health can be developed to create high-impact activities – not only promoting health applications, but also actively driving methodological developments in AI research.
Therefore, the work is not only about applying AI to health, but also about using health and life science as drivers of methodological innovation in AI.
