Lundbeck Partners with Cradle to Advance AI-Driven Brain Disorder Treatments
Thursday, June 04, 2026
H. Lundbeck A/S has entered a partnership with Cradle to support the discovery and optimisation of biotherapeutics for brain disorders using artificial intelligence.
Brain disorders affect more than half of the global population, creating a significant healthcare and social burden. Through the collaboration, Lundbeck will use Cradle’s AI-powered protein design platform to develop higher-performing biologic candidates and accelerate the development of new treatments for neurological diseases.
The partnership marks Lundbeck’s first end-to-end AI-guided protein engineering workflow. Experimental data will be continuously integrated into the AI model, allowing each development cycle to improve prediction accuracy and speed up the identification of promising candidates.
Initially, the platform will be used to support two antibody programmes targeting central nervous system (CNS) diseases. Lundbeck’s protein engineering and computational biology teams will use Cradle’s generative AI technology to design higher-quality antibody candidates while reducing the number of laboratory testing cycles needed to reach lead candidates.
The agreement forms part of Lundbeck’s broader strategy to integrate AI across its research and development operations. It also complements the company’s recent collaboration with the Danish Centre for AI Innovation, which provides access to the Gefion AI supercomputer for large-scale scientific modelling and drug discovery.
Together, these initiatives are expected to strengthen Lundbeck’s AI-driven drug discovery capabilities, from expanding the search for new therapeutic targets to improving the development of biologic candidates.
According to Lundbeck, AI-based initiatives across the organisation are already delivering significant efficiency gains, saving more than 12,000 working hours each week. In drug discovery, AI-generated structural insights and predictions that previously required months can now be produced in less than 24 hours, while expanding the scientific search space by around 50,000 times.
Source: prnewswire.com
