Quantum questions have algorithmic answers: navigating a drug discovery network

Quantum algorithms and AI-driven approaches are being leveraged to gain a unified understanding of multi-omics for a drug discovery context. Although AI has proven a powerful tool for drug discovery, Namshik Han (left) – Professor at Yonsei University (Seoul, South Korea) and leader of the AI discovery group in the Milner Institute at the University of Cambridge (UK) – recognizes its limitations, highlighting how quantum-inspired algorithms optimize this approach. Outside of academia, Namshik is Chief Technology Officer of startup company CardiaTec Biosciences (Cambridge, UK), which is combining multi-omics with AI to find novel drug targets for cardiovascular disease. In this...