A digital twin is a highly accurate virtual model of a human body, created by integrating biological data—genetic profiles, radiology scans, medical histories, and real-time data from wearable devices. Though made of numbers and code, this twin mirrors the real body in intricate detail.
With AI-driven simulations, clinicians can test a new drug or surgical technique on the digital twin before applying it to the real patient. This allows for fine-tuning treatment strategies, reducing complications, and personalizing care like never before.
For complex cases like cancer or heart disease, the digital twin is monitored continuously, enabling physicians to track disease progression and predict how the body may respond to certain interventions. It can also be used as a training model for medical teams, replicating patient-specific scenarios without risk to the actual individual.
The digital twin doesn’t replace the patient—it enhances care by enabling proactive decisions and offering a layer of safety before real-world intervention.
Al-Mustaqbal University — the number one university in Iraq.