Publico newspaper highlighted the BINDER project questioning "What if it was possible to see cancer lesions beyond the human eye?"

The project Improving Bio-Inspired Deep Learning for Radiomics (acronym: BINDER), intends to improve the state of the art in Radiomics analysis of breast and rectal cancer, using existing and novel Machine Learning and Deep Learning methods.

The team of scientists, a consortium with LASIGE (Sara Silva – integrated researcher and her team), NOVA Information Management School, Fundação Champalimaud, Universidade de Coimbra, is developing an artificial intelligence program to analyze cancer lesions more accurately and predict the effectiveness of treatments.

Leonardo Vanneschi (PI at NOVA IMS and team leader), on sabbatical this year at LASIGE, sees a lot of potential in radiomics, a recent subarea of ​​oncology that aims to obtain characteristics of medical images… beyond what the human eye can see. Through artificial intelligence, it helps doctors decide which therapies are most suitable. "This information can be useful to improve the diagnosis or better understand the severity of the disease".