Researchers at the Max Delbrück Center released Flexynesis, a deep learning toolkit that integrates diverse multi-omics datasets and clinical information to improve diagnosis, prognosis, and personalized treatment decisions in cancer care. Published in Nature Communications, Flexynesis addresses the challenge of analyzing complex biological data to tailor therapies to individual tumor profiles, enhancing precision oncology.