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Home » Using black hole study methods, digital twins take aim at the patient black box
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Cancer

Using black hole study methods, digital twins take aim at the patient black box

Oct. 25, 2024
By Xavier Bofill Bruna
Currently, cancer therapy trial-and-error methodology is inefficient and unsustainable. Oncology is the worst therapeutic area for drug trial success; only 3.4% of drugs that enter phase I end up being FDA approved, and 57% fail due to poor drug efficacy in trials. Building tools that may aid in predicting an individual’s response to a specific therapy may help in reducing costs, guesswork, and importantly improve the outcome of patients and accelerate new drug development.
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