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  • Research home > Beat Cancer Project search > Developing an artificial intelligence-based algorithm to enable a risk-adapted approach to frontline therapy in chronic myeloid leukaemia (CML)

    Developing an artificial intelligence-based algorithm to enable a risk-adapted approach to frontline therapy in chronic myeloid leukaemia (CML)

    Professor Tim Hughes

    Even with our current choice of 5 drugs, ~20% of patients with chronic myeloid leukaemia (CML) respond poorly to standard drug therapy. We plan to develop an algorithm based on the most predictive biological and molecular assays to enable a “precision medicine” approach to CML therapy. This “risk-adapted” approach would direct most patients to the safest and cheapest therapy whereas “high risk” patients would receive more potent therapy or enter a trial of combination therapy.



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