Millions of people worldwide are exposed via soil and water to arsenic, whether naturally occurring or related to pollution. Chronic exposure is linked to the formation of cancer stem cells.
Stochasticity is everywhere – and finding the order in disorder can unlock new ways to understand biology.
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An epigenetic model of cancer that incorporates the concept of stochasticity could also explain why cancer risk increases with age and how biological development can be reversible.
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.
Is cancer just a mathematical game of chance?
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What causes cancer? This deceptively simple question has a devilishly complex answer. So when US researchers proposed a relatively simple mathematical formula to explain a long-standing conundrum in cancer…