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
- Tools and code from our groups is available on Github
- Institutional website
Predictors
Here you can find links to our web predictors:
- Predict Hepatocellular Carcinoma risk using the PIVKA-II biomarker, published in Alimentary Pharmacology & Therapeutics, 2025.
- Predict in-hospital death for patients with Takotsubo syndrome published in European Journal of Heart Failure, 2023
- Predict survival for canine diffuse large B-cell lymphoma, published in 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