Richard Greil

The paper integrates single-cell data from CRC patients to identify immune subtypes and neutrophil phenotypes, revealing their spatial organization and tumor-induced changes.

This paper develops and validates a 9-gene Breast Cancer Purity Score to improve prognostication by accounting for tumour purity in breast cancer datasets.

This study shows conventional therapy in CRC induces immunoediting and changes immune contexture, with AI identifying mucin deposits as a potential surrogate marker.

This study shows that HH/GLI and Hippo/YAP pathway interactions suppress T cell chemotaxis and promote immunosuppression in BCC by downregulating chemokine signaling.

The paper uses a Convolutional Neural Network to improve genetic variant validation from NGS data, achieving performance comparable to trained researchers.