ARTICLE TYPE : RESEARCH ARTICLE
Published on : 15 Sep 2025, Volume - 1
Journal Title : WebLog Journal of Family Medicine | WebLog J Fam Med
Source URL: 
https://weblogoa.com/articles/wjfm.2025.i1507
Permanent Identifier (DOI) : 
https://doi.org/10.5281/zenodo.17265204
Digital Twins in Healthcare: A Transformative Approach to Personalized Medicine and Predictive Care
2GD Pharmaceutical Inc., OPJS University, Rajasthan, India
3Assistant Professor, Department of Pathology, Dow University of Health Sciences (DUHS), Karachi, Pakistan
Abstract
Abstract: The concept of digital twins is rapidly entering healthcare as a novel way to improve medical decision-making and patient care. In this context, a digital twin is defined as a computer-based model that acts as a virtual counterpart of a person, organ, or physiological process. Unlike traditional static records, digital twins are continuously updated with information from multiple sources, including health records, imaging studies, wearable sensors, and genetic data. Creating such a system requires several steps: first, collecting diverse patient information; second, using artificial intelligence and computational tools to build a virtual structure; and finally, linking the model with real-time updates from the individual. Once developed, the twin can be used to explore disease pathways, predict outcomes of treatments, and plan clinical interventions without exposing patients to unnecessary risk. For example, models of the cardiovascular system can be used to test different therapies for heart disease, while cancer twins can simulate tumor development and drug responses. T his technology also has significant applications in drug research, allowing preliminary assessments of safety and effectiveness through simulated trials. Despite these advantages, widespread use of digital twins still faces obstacles, particularly in terms of safeguarding patient data, ensuring accuracy across diverse populations, and addressing ethical concerns regarding consent and data use. With ongoing advances in artificial intelligence and biomedical engineering, digital twins are expected to become central to precision medicine, promoting a shift from reactive to predictive and preventive healthcare.
Keywords: Digital Twin; Virtual Patient; Predictive Modeling; Healthcare Innovation; Precision Medicine
Citation
Haider R, Das GK, Ahmed Z. Digital Twins in Healthcare: A Transformative Approach to Personalized Medicine and Predictive Care. WebLog J Fam Med. wjfm.2025.i1507. https://doi.org/10.5281/zenodo.17265204