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A Deep Learning Framework for Predicting Response to Therapy in Cancer
Theodore Sakellaropoulos, Konstantinos Vougas, Sonali Narang, Filippos Koinis, Athanassios Kotsinas, Alexander Polyzos, Tyler J Moss, Sarina Piha-Paul, Hua Zhou, Eleni Kardala, Eleni Damianidou, Leonidas G Alexopoulos, Iannis Aifantis, Paul A Townsend, Mihalis I Panayiotidis, Petros Sfikakis, Jiri Bartek, Rebecca C Fitzgerald, Dimitris Thanos, Kenna R Mills Shaw
- Sandra and Edward Meyer Cancer Center
- University of Texas MD Anderson Cancer Center
- Hutchison/MRC Research Centre, University of Cambridge
- NYU School of Medicine
- Perlmutter Cancer Center at NYU Langone Health
- Biomedical Research Foundation of the Academy of Athens
- National and Kapodistrian University of Athens
- Northumbria University
- The Cyprus Institute of Neurology and Genetics
- National Technical University of Athens
- Laikon Hospital
- Genome Integrity Unit, Danish Cancer Society Research Centre
- Palacky University
- Karolinska Institutet
- Ninewells Hospital
- University of Dundee
- Manchester Academic Health Science Centre (MAHSC)
- NIHR Biomedical Research Centre
Research output: Contribution to journal › Article › peer-review