Published Paper Details:

Digital twins (DT) are essentially virtual digital counterparts for patients, reflecting their physiological and anatomical uniqueness. The concept builds on the convergence of computer science, mathematics, engineering, and the life sciences, and its transition into pharmaceutical research has been ground breaking. The digital replica allows researchers to observe the patient in real-time while simulating and predicting the clinical outcome for the patient in a clinical trial. Integrating machine-learning models with electronic health records, data linkage, and DNA sequencing enables the creation of a Digital Twin of patients in clinical trials. The potential benefits of DT in the setting of a clinical trial are predicting personal responses, less reliance on animal and human trials, speeding up drug development, precision, and personalization. The technology has been successfully employed in trials on Diabetes and Musculoskeletal diseases. The use of Digital Twin in a clinical trial is yet to be fully revealed. The study strives to establish the significance of Digital Twin in trials and how it can significantly enhance research.