Computational Cancer Research
Continuously seeking novel and cutting-edge algorithms and pipelines that can be applied to real-time patient decision-making.
Continuously seeking novel and cutting-edge algorithms and pipelines that can be applied to real-time patient decision-making.
Exploring how historical data can be leveraged to rationally predict current outcomes in a real-world context.
Searching new germline variants that could assist families in making informed decisions to prevent cancer within a public context.
Unraveling how limited data from poorly preserved FFPE samples can contribute to making decisions regarding treatment prediction and survival prognosis.