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What if a digital twin helped researchers test treatment strategies?
A computer model of a patient could let researchers ask 'what if?' without the risk. How close are we?
What if your genome could help select a treatment?
Sometimes it already does. The trick is knowing when a genetic result is truly useful.
What if we could print living tissue that functions inside the body?
Printing shapes is easy. Printing tissue that lives, breathes and connects is not.
What if measuring biological age became clinically useful?
Your birthday says one thing. Your cells might say another. What could a doctor do with that?
What if a therapy were designed around one person’s tumor?
Every tumour carries its own mutations. Could a treatment be built to match them?
What if an AI model discovered a promising drug target?
AI can sift biology faster than any lab. Finding a target is the start of the story, not the end.
What if we could detect a cancer before symptoms appeared?
Finding cancer earlier sounds like pure good news. The details are more interesting.
What if an MRI scan took a fraction of the time?
Shorter scans could mean less time lying still in a loud tube — and more people scanned per day.
AI + MedicineWhat If Every Patient Had a Digital Twin? A Thought Experiment About Personalized Medicine
Personalized computer models of the heart and in-silico trials are already used in research and regulation. Scaling them into a living digital twin for every patient raises hard questions of biology, validation and trust.