Programming Living Cells for Next Generation Therapeutics
Over the past decade, there has been a rise in the usage of next generation therapeutics: biologically derived therapeutics to treat a breadth of human diseases including cancer and rare genetic diseases. The growth of treatment modalities such as antibodies, viral vectors and cell therapeutics has outpaced classic methods such as small organic molecule development. Despite this growth, methodologies for designing biological therapeutics are arcane; it can take years of research to discover a single genetic design that produces a functional therapeutic. In this talk we will walk through advances in experimental data collection and machine learning algorithms to accelerate the design of living systems to produce these next generation therapeutics.