Fields- The Ecology and Evolution of Cancer
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Title: Combining machine learning and modeling approaches to forecasting disease progression
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Title: Mathematical modelling of premalignant and disease phases of acute myeloid leukemia to accelerate the preclinical development of new therapies
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Title: Genetic composition of supercritical branching populations under power law mutation rate
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Title: The site frequency spectrum in growing cancer cell populations
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Title: Computational modeling of blood cancer evolution and patient prognosis
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Title: Mathematical modeling of blood cancer and premalignancy
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Title: Ecological niches for the development of drug-induced resistance
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Title: Mutation accumulation in healthy tissues
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Title: Estimating clonal dynamics using coalescent theory and branching processes
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Title: Decoding evolutionary information from cancer trees
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Title: Mathematical population genetics of bacteria: Evolutionary dynamics on multicopy plasmids
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Title: Defining selection in somatic evolution by modeling tumor-stromal interactions
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Title: Evolutionary rescue as a framework for understanding drug resistance in cancer
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Title: A mathematical model of evolution of drug-induced resistance
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Title: Personalized Cancer Care through Digital Twin Technology: Integrating Patient-Specific Data with Quantitative Systems Pharmacology
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Title: Modelling the impact of intra-tumour heterogeneity on radiotherapy outcomes
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Title: Mechanistic learning reveals the reciprocal cell fate transitions that drive disease progression in B-cell acute lymphoblastic leukemia
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Title: Fighting Drug Resistance with Math
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