Medscape November 11, 2024
A patient has cancer. It’s decision time.
Clinician and patient alike face, really, the ultimate challenge when making those decisions. They have to consider the patient’s individual circumstances, available treatment options, potential side effects, relevant clinical data such as the patient’s genetic profile and cancer specifics, and more.
“That’s a lot of information to hold,” said Uzma Asghar, PhD, MRCP, a British consultant medical oncologist at The Royal Marsden Hospital and a chief scientific officer at Concr LTD.
What if there was a way to test — quickly and accurately — all the potential paths forward?
That’s the goal of digital twins. An artificial intelligence (AI)–based program uses all the known data on a patient and their type of illness...
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