Blog: Graph neural networks

In this post, we share insights from Serokell AI experts on their investigation into drug-disease interactions. Specifically, they explored whether a drug has a positive, negative, or neutral effect on the treatment of a particular disease. Serokell has collaborated with Neo7Bioscience, a molecular technology company, and Elsevier, an information and analytics firm that facilitates medical and biological research. With the data licensed from Elsevier, our specialists developed ML models that predict interactions between small molecules and diseases.

In modern healthcare and medicine, the quest for novel treatments and therapies is a perpetual challenge. Groundbreaking solutions can be discovered not only through innovation but also by uncovering hidden relationships within existing data. This is what Graph Neural Networks (GNNs) do. This cutting-edge fusion of graph theory and deep learning can transform drug repurposing—the process of finding new medical uses for already existing drugs.