Abstract
Shaohua Ma, an early-career group leader, and his team talk about their passion for data science and their project published in Patterns, where multiplex gene quantification-based “digital markers” are used for extremely rapid evaluation of chemo-drug sensitivity. This method allows quick and personalized chemo-drug recommendations for cancer patients, helping to improve their clinical care and health outcomes.
Highlights
Shaohua Ma, an early-career group leader, and his team talk about their passion for data science and their project published in Patterns, where multiplex gene quantification-based ‘‘digital markers’’ are used for extremely rapid evaluation of chemo-drug sensitivity
In our recent work published in Patterns,[1] we propose ‘‘digital markers’’ for choosing personalized cancer medicine
Fan: I am a third-year PhD student majoring in data science and information technology
Summary
Shaohua Ma, an early-career group leader, and his team talk about their passion for data science and their project published in Patterns, where multiplex gene quantification-based ‘‘digital markers’’ are used for extremely rapid evaluation of chemo-drug sensitivity. Jiaqi, and Yilin, please tell us a little about yourselves and your recent paper published in Patterns S.H. Ma: My research focuses on organoid engineering, intelligent microfluidics, and computational biology and medicine, for personalized and regenerative therapy. J.Q. Fan: I am a third-year PhD student majoring in data science and information technology.
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