Platform for the visualisation and application of machine learning techniques on both clinical and genomic data
Personalised medicine project to obtain biomarkers and develop therapies for liver, breast, prostate and colorectal cancer
CADDER is a computer-assisted module for the detection and monitoring of melanoma through dermatocopic images. To do this, it implements the ABCD dermatoscopy rule using artificial vision techniques (e.g. Deep Learning)
This project will use bionanomaterials for the development of detection and diagnostic technologies that provide greater sensitivity in the detection of specific biomarkers and their application for more effective therapies for cancer and fibrosis
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