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2. Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study

4. Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

7. Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

10. Energy balance‐related factors in childhood and adolescence and risk of colorectal cancer based on KRAS, PIK3CA, and BRAF mutations and MMR status

11. Association between mutational subgroups, Warburg‐subtypes, and survival in patients with colorectal cancer

12. Association between mutational subgroups, Warburg‐subtypes, and survival in patients with colorectal cancer.

13. Energy Balance–Related Factors and Risk of Colorectal Cancer Expressing Different Levels of Proteins Involved in the Warburg Effect

14. Energy balance‐related factors in childhood and adolescence and risk of colorectal cancer expressing different levels of proteins involved in the Warburg‐effect

18. Deep learning detects genetic alterations in cancer histology generated by adversarial networks

19. Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

20. Expression of proteins associated with the Warburg‐effect and survival in colorectal cancer.

23. Association between long-term energy balance-related factors and survival in colorectal cancer overall and by metabolic Warburg-subtypes.

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