A research team led by Altuna Akalin at the Max Delbrück Center developed Flexynesis, an artificial intelligence-based toolkit for integrating multi-omics data and clinical information to improve cancer diagnosis and treatment decisions. Published in Nature Communications, Flexynesis enables flexible modeling to address diverse therapeutic questions, facilitating identification of biomarkers and treatment optimization tailored to individual tumor profiles. The toolkit supports efforts to navigate the growing complexity of oncology therapeutics and personalized medicine.