The Digital and In Silico Therapeutics Revolution

Abstract

Digital therapeutics, i.e., adding digital components to traditional therapeutics, can improve or even prevent diseases through behavioral change in cases where traditional drugs have not succeeded. The inclusion of digital components provides significant value not only to the therapeutics by improving their effectiveness, but also to the drug development process by reducing costs and increasing efficiency. The combination of digital therapeutics and diagnostics empowers the provider to deliver personalized medicine by better diagnosing and managing the patient, potentially enabling early disease detection. The implementation of computational, or “in silico” tools in therapeutics and diagnostics, such as deep learning algorithms, is taking the digitalization improvements to its next level, fueling the healthcare revolution from curing diseases to preventing them.