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PRECORMIDEL
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Orientador(es)
Resumo(s)
• Colorectal cancer (CRC) is the third most common cancer worldwide, with rectal cancer (RC) contributing significantly to its morbidity and mortality. • Neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision is the standard treatment for RC. • The wide variability in patient responses to nCRT makes predicting treatment outcomes challenging. • Predicting response is crucial to identify patients who are unlikely to benefit from the nCRT to avoid unnecessary side effects from it. • Current biomarkers and gene signatures have shown limited success in reliably predicting patient responses.
Descrição
Betancourt, C. A. S. (2024). PRECORMIDEL: Transforming Rectal Cancer Treatment Prediction with Multiscale Imaging, Deep Learning, and Genetic Programming [poster]. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS). We would also like to express our sincere gratitude to the Champalimaud Foundation for their invaluable support and contributions to this research. Their resources, expertise, and dedication to advancing cancer research have been instrumental in the progression of this study
Palavras-chave
SDG 3 - Good Health and Well-being