Integrative cancer biology
We develop technologies for doctors to make better decisions faster
300 years ago a new quantitative technology was introduced in medicine: the thermometer. Many doctors were afraid that Daniel Fahrenheit’s innovation would replace them with numerical values. Instead, over time, doctors who used the thermometer replaced doctors who did not. Today, medicine is again undergoing a revolution to use the key quantitative technologies of today: predictive modelling by machine learning and artificial intelligence.
My group and I are creating novel measurement and prediction systems for integrated cancer biology.
Selected publications
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Scabsolute: Measuring Single-Cell Ploidy and Replication Status
E-pub date: 1 Aug 2022Journal name:
Quantification of TFF3 expression from a non-endoscopic device predicts clinically relevant Barrett’s oesophagus by machine learning
E-pub date: 31 Aug 2022Journal name: EBioMedicine
Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma
E-pub date: 1 Aug 2022Journal name: Front Oncol
