Anticipating when cancer cells become resistant to treatment can help oncologists more quickly adjust their therapies.
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Applying the principles of ecology and evolution could help oncologists anticipate cancer drug resistance and optimize their treatment plans for patients.
The estimated lifetime costs of antiretroviral therapy for someone who acquires HIV at age 35 is $358,380.
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People with HIV need to take daily medication to keep the virus at bay. A study has found that a new treatment combination could boost immunity and control virus levels even after stopping medication.
Collaborations between mathematicians, cancer biologists and clinical oncologists enable both rapid cost-effective testing of cancer drug combinations, and deeper understanding of cancer drug resistance.
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Cancer is the second leading cause of death globally. Mathematicians have joined the fight, developing models to both test cancer drug combinations and understand chemotherapy drug resistance.