A systematic analysis of deep learning in genomics and histopathology for precision oncology.

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsJNK declares consulting services (scientific advisory board member) for Owkin, France; DoMore Diagnostics, Norway and Panakeia, UK and has received honoraria for lectures by Bayer, Eisai, MSD, BMS, Roche, Pfizer and Fresenius. MU does not have any competing interests. Competing interests JNK declares consulting services (scientific advisory board member) for Owkin, France; DoMore Diagnostics, Norway and Panakeia, UK and has received honoraria for lectures by Bayer, Eisai, MSD, BMS, Roche, Pfizer and Fresenius. MU does not have any competing interests."

"Funding Open Access funding enabled and organized by Projekt DEAL. JNK is supported by the German Federal Ministry of Health (DEEP LIVER, ZMVI1-2520DAT111), the Max-Eder-Programme of the German Cancer Aid (grant #70113864), the German Federal Ministry of Education and Research (PEARL, 01KD2104C; CAMINO, 01EO2101; SWAG, 01KD2215A; TRANSFORM LIVER, 031L0312A; TANGERINE, 01KT2302 through ERA-NET Transcan), the German Academic Exchange Service (SECAI, 57616814), the German Federal Joint Committee (Transplant.KI, 01VSF21048) the European Union’s Horizon Europe and innovation programme (ODELIA, 101057091; GENIAL, 101096312) and the National Institute for Health and Care Research (NIHR, NIHR213331) Leeds Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care."