Presentation description

Melanoma is the deadliest form of skin cancer. Currently there are numerous therapies available to treat melanoma, but it is not obvious which therapy would work the most effectively. In this project we have created a large test data set of human melanoma cells that have been treated with various therapeutics. Using this data, we created an AI-trained classifier that can classify key cellular behaviors in order to predict which therapy would work the best for treating the patient's cancer.