AI in Health and Life Sciences Machine Learning for Personalised and Predictive Medicine Analysis of clinical and OMICS data; Prognostic factors identification; Patient stratification. Computer Vision and Deep Learning for Biomedical Imaging and Radiomics Biomedical image classification; Automatic feature extraction; Image segmentation. Natural Language Processing (NLP) for Healthcare Clinical text processing; Scientific literature correlations; Topic extraction. Computational Biology and Simulation of Biological Systems Modeling of molecular systems; Simulations of protein interactions; Machine learning for drug design. Main partners: Institute for Digital Technologies for Personalized Healthcare - MeDiTech (SUPSI) Ente Ospedaliero Cantonale Innovation Office University of Basel Contact: health@idsia.ch
