How can AI and machine learning extend biomedical knowledge and not add to the noise and complexity that hamper progress in the field?
Meet us at the BioData West conference in San Francisco, April 26-27. We will present new applications on our Biomedical Intelligence Cloud platform and discuss approaches which apply advanced machine learning and AI algorithms to continuously update biomedical knowledge.
Featured applications merge algorithms with prior knowledge of how cells and biological systems work. This prior knowledge can significantly limit the search space of possible solutions and guide algorithms towards biologically-sound solutions that have a greater chance of success in clinical development.
We will focus on Data4Cure’s model-based molecular and immune-infiltrate stratification engine which identifies cancer subtypes and associates them with disease pathway activities, immune cell infiltration, and predicted response to targeted drugs and immunotherapies.
If you’re at the conference please meet us at booth #6 and see our presentations in the sessions below:
Panel Discussion: 4/26 2:50pm Artificial Intelligence Track
Presentation: 4/27 11:40am Genomics and Health Track