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Prof Gabriel Fernandez Calvo
WG4 Leader
Area of Research
MATHEMATICAL & COMPUTATIONAL MODELLING (Theme-4) Although ML/DL approaches such as Support Vector Machine (SVM), Random Forest (RF), as well as DL approaches, e.g. Convolutional Neural Network (CNN) and DeepCC, and subtype classification using a single type of omics or imaging data, have been successfully applied in cancer diagnosis and subtype classification, current existing methods may not be adequate to address the challenge of integrating genotypic data from patients, multi-omics data from drug treatments,
Biography
It is estimated that 3.24 million new cancer cases and 1.66 million cancer deaths will be registered across Europe in 2024, and 40,800 of these deaths are from brain and central nervous system (CNS) cancers. Despite extensive efforts in molecular biology research, advances in biomedical engineering, artificial intelligence (AI), and big data science, brain tumours remain among the deadliest forms of cancer…
Projects & Grants
MATHEMATICAL & COMPUTATIONAL MODELLING