Laura Azzimonti

A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney disease

Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort

Using mixed-effects models to learn Bayesian networks from related data sets

TCR-engineered iNKT cells induce robust antitumor response by dual targeting cancer and suppressive myeloid cells

Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland

A Bayesian hierarchical score for structure learning from related data sets

The influence of baseline clinical status and surgical strategy on early good to excellent result in spinal lumbar arthrodesis: a machine learning approach

Artificial intelligence in thyroid field—a comprehensive review