The mission of the AI in Medicine group is to develop and find effective computational techniques for the analysis of biomedical data. The group focuses on pursuing research, including:
We have a particularly strong interest in the application of computing technology to improve the diagnosis and stratification of patients and the management of patients with different diseases.
Our aim is to apply machine learning in hypertrophic cardiomyopathy MRI to assist in improving the prediction of progressive fibrosis in mice. Machine learning-based methods may allow us to automatically predict the severity of diseased tissue in hypertrophic cardiomyopathy using MR images. Our research also includes developing algorithms to improve image quality and assist in disease diagnoses.
Bachelor of Technology Electronics and Telecommunication Engineering, KIIT University, India
Danilo Tetesi, MSc.
Master in Cognitive Neuroscience, University La Sapienza, Italy
Ashwitha Devasya, MSc.
M. Sc. Advanced Computer Science with Big Data, University of Strathclyde, UK