|Computational Learning in Biology and Medicine|
No single data type can capture the complexity of all the factors relevant to identifying, understanding and classifying a disease. Computational learning, including traditional statistical analysis and innovative methods related to computer vision and artificial intelligence, is an integrative methodology that combines data from multiple technologies and, in biomedical application, can be used for modelling, identifying and classifying disorders and diseases related to physiological systems such as cardiovascular, motor and metabolic ones.
|Laboratory: Cardiovascular Bioengineering Lab, Movement Analysis Lab, BioEngineering Lab|
|Contact Person: Prof.ssa Laura Burattini, Prof. Sandro Fioretti, Dott.ssa Micaela Morettini, Dott.ssa Federica Verdini and Dott. Francesco Di Nardo|