Computational Biomedicine Group

The Computational Biomedicine Group is a dedicated research team focused on advancing the field of biomedicine through the application of Artificial Intelligence (AI) and computational techniques. The group's primary aims revolve around harnessing the power of AI in various aspects of biology and medicine, contributing to scientific knowledge, and facilitating biomedical research and application.

Main Research Activities:

• Machine Learning Applications in Biology and Medicine
• Development of Computational Tools for Biomolecule Feature Predictions
• Computational Biological Sequence Analyses
• Development of Software for Bioinformatic Applications
• Modeling of Complex Systems

Links

• Institutional website
• Github

Predictors

Here you can find links to our web predictors:

• Predict in-hospital death for patients with Takotsubo syndrome European Journal of Heart Failure, 2023
• Predict Hepatocellular Carcinoma risk using the PIVKA-II biomarker
• Predict survival for canine diffuse large B-cell lymphoma, Lab Animal, 2022

Group members:

• Piero Fariselli
• Tiziana Sanavia
• Giovanni Birolo
• Ivan Rossi
• Corrado Pancotti
• Cesare Rollo
• Francesco Codice`
• Flavio Sartori
• Isabella Caranzano

Past members

• Silvia Benevenuta