Evangelina López de Maturana

This paper provides methodological guidance for integrating liquid biopsy features using AI, emphasizing data preprocessing, feature selection, and model validation.

This paper develops a consensus molecular classifier for pancreatic ductal adenocarcinoma by integrating tumor and stroma features, achieving high accuracy in predicting overall survival.

This paper shows a CTRB2 deletion variant increases pancreatic cancer risk by causing ER stress and inflammation in mice, using a new genetic model.

The paper uses a multi-layered approach combining GWAS, spatial autocorrelation, and Hi-C to identify novel genetic variants associated with pancreatic cancer susceptibility.