Our machine learning and artificial intelligence projects in biology and medicine have been funded by national and international agencies.
Major Funding
- Explainable Artificial Intelligence for Cancer Imaging (XAICancer)
SONATA BIS (2024-2029) National Science Centre - Interpretability of Deep Neural Networks for Radiomics (INFORM)
CHIST-ERA (2021-2024) Horizon 2020 - Statistical and Machine Learning Challenges in Classification and Integration of Molecular and Genomic Data
SONATA (2017-2021) National Science Centre
We have been also fortunate to receive Nvidia Academic Grant, Google Cloud Credits, and other industry supports. Interdisciplinary Centre for Mathematical and Computational Modelling (ICM) provides excellent GPU servers for AI research.
Collaboration
- Pre-clinical imaging and AI with Dr. Panagiotis Papadimitroulas (BioEmTech, Greece)
- Cancer, radiomics, and AI with Dr. Mathieu Hatt (Laboratory of Medical Information Processing, France)
- Statistical genetics and bioinformatics with Dr. Alex Ochoa (Duke University, USA)
- Cardiovascular diseases and proteomics with Dr. Peipei Ping (University of California Los Angeles, USA)