A pipeline of machine learning-driven multi-modal data fusion methods for prognostic risk analysis in bevacizumab-treated metastatic colorectal cancer

Valentina Thomas

Gift Nyamundanda

Adrian Lärkeryd

P. S. Hari

Ian S. Miller

Tom Venken

Dominiek Smeets

Bram Boeckx

Johannes Betge

Matthias P. A. Ebert

Timo Gaiser

Verena Murphy

Elaine Kay

Henk M. Verheul

Alice C. O’Farrell

Chiara Cremolini

Federica Marmorino

William M. Gallagher

Ana Barat

Rut Klinger

Bozena Fender

Bauke Ylstra

Nicole van Grieken

Deborah A. McNamara

Bryan T. Hennessy

From the National Surgical Adjuvant Breast and Bowel Project (NSABP) Foundation (C.E.G., E.P.M., N.W., P.R., I.L.W., A.M.B.) and University of Pittsburgh School of Medicine–UPMC Hillman Cancer Center (C.E.G., N.W., P.R., A.M.B.) — both in Pittsburgh; AGO-B and Helios Klinikum Berlin–Buch, Berlin (M.U.), the National Center for Tumor Diseases, Heidelberg University Hospital, and German Cancer Research Center, Heidelberg (A.S.), Evangelische Kliniken Gelsenkirchen, Gelsenkirchen (H.H.F.), Arbeitsgemeinschaft Gynäkologische Onkologie–Breast and Sana Klinikum Offenbach, Offenbach (C.J.), the Department of Gynecology and Obstetrics, University Hospital Erlangen, Comprehensive Cancer Center Erlangen–EMN, Friedrich–Alexander University Erlangen–Nuremberg, Erlangen (P.A.F.), German Breast Group, Neu-Isenburg (P.W., S.L.), and the Center for Hematology and Oncology Bethanien, Goethe University, Frankfurt (S.L.) — all in Germany; National Taiwan University Hospital and National Taiwan University College of Medicine,...

Sudipto Das

Bruce Moran

Darran P. O’Connor

Rodrigo Dienstmann

Diether Lambrechts

Jochen H. M. Prehn

Anguraj Sadanandam

Annette T. Byrne