Digital twins are virtual models of real-world systems that have been gaining momentum as a powerful tool in drug discovery and development. We touched on this concept last season when we covered computational advancements in drug discovery. Now, we’re taking a deeper dive into the power of digital twins. By leveraging genomics, physical health data, lab results, and other clinical datasets, digital twins allow researchers to model certain diseases, help predict treatment outcomes, and more efficiently optimize dosing strategies for clinical studies. In this episode, co-host Maria Wilson is joined by Iraj Hosseini, Distinguished Scientist and Director, gRED Development Sciences, to explore how digital twins could simulate thousands of "what if" scenarios, paving the way for faster and more patient-centric therapeutic strategies.

Read the full text transcript at www.gene.com/stories/the-power-of-digital-twins