What Is a Digital Twin in Medicine?
The phrase digital twin can sound like science fiction, but in medicine it usually means a model built from data. A digital twin might represent a patient's disease trajectory, a tumor, a heart, a manufacturing process, or a clinical trial population. The goal is to test scenarios computationally before making decisions in the real world.
Plain-English explanation
The phrase digital twin can sound like science fiction, but in medicine it usually means a model built from data. A digital twin might represent a patient's disease trajectory, a tumor, a heart, a manufacturing process, or a clinical trial population. The goal is to test scenarios computationally before making decisions in the real world.
Why it matters
Rare disease trials often involve small populations and uncertain disease trajectories. Better models could help researchers design smarter studies, compare treated patients with expected progression, and choose endpoints that are more sensitive to change. Families should also know that a digital twin is only as trustworthy as the data and assumptions behind it.
How it works
Scientists combine data such as clinical history, biomarkers, imaging, genetics, wearable measures, or registry information to build a model of likely progression or response. The model can simulate what might happen under different conditions. For clinical use, it must be validated, interpretable, and used as decision support rather than as a substitute for medical judgment.
Key terms
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