Predictive Medicine: Discovering Latent Patterns and Developing Treatments Using AI
Personalized medicine is fundamentally transforming the landscape of biomedical research. Diseases are no longer understood as single pathologies but as individual conditions with distinct biological characteristics unique to each patient. At the same time, the development of new treatments has become more complex than ever, requiring enormous time and cost.
This lecture introduces an approach that leverages large language models and biomedical knowledge graphs to analyze networks among diverse biological elements such as genes, proteins, diseases, and drugs, extracting novel associations hidden in data and deepening our understanding of unknown pathological mechanisms and pathways. At the core of this research lies an internationally unique, expert-curated data foundation, upon which AI tools for predicting biological interactions, identifying biomarkers, and discovering potential drug targets have been developed.
Prof. Dr. Prof. h.c. Andreas Dengel (German Research Center for Artificial Intelligence)