Over the past decades, developing drugs has become increasingly more difficult and expensive, leaving many patients with significant unmet need. A constellation of technologies now allows us to construct, perturb, and observe biological model systems in the laboratory, allowing the generation of biomolecular data at unprecedented breadth and scale. At the same time, the tools of data science and machine learning are now solving problems previously thought to be decades away from solution. We aim to combine these technologies to develop a new approach to drug development that might help us cure more people, sooner, and at a much lower cost.

Over the past decades, developing drugs has become increasingly more difficult and expensive, leaving many patients with significant unmet need. A constellation of technologies now allows us to construct, perturb, and observe biological model systems in the laboratory, allowing the generation of biomolecular data at unprecedented breadth and scale. At the same time, the tools of data science and machine learning are now solving problems previously thought to be decades away from solution. We aim to combine these technologies to develop a new approach to drug development that might help us cure more people, sooner, and at a much lower cost.

ActX is a genomic decision support service that is tightly integrated within the EHR. With ActX implemented, every time a prescription order is written in the routine medication order workflow, it will be checked for drug-genome interactions and the prescriber alerted as needed. Provider friendly, and CAP accredited initial results will be generated and returned to the provider in the clinical inbasket. A dynamic and up-to-date Genomic Profile for each patient will be available in their chart. Patient genetic data can be imported from any clinically valid source. The knowledgebase content is easily customizable and includes content for pharmacogenomics, actionable genetic risks, and carrier statuses.