Author
University of SienaORCID 0000-0001-6337-5430Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
4 papers
Recent·Most cited
Chiara Fallerini, Nicola Picchiotti, Margherita Baldassarri…·Pier Giorgio Scotton
The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.
Margherita Baldassarri, Nicola Picchiotti, Francesca Fava…·Francesca Andretta
The paper identifies shorter androgen receptor polyQ alleles as protective against severe COVID-19 in males using machine learning on whole-exome sequencing data from the GEN-COVID cohort.
Sergio Daga, Chiara Fallerini, Margherita Baldassarri…·Elisa Frullanti
The paper describes a biobanking initiative collecting genetic and clinical data from over 1,000 SARS-CoV-2-positive individuals to study multi-organ involvement and genetic factors in COVID-19 severity.
Nicola Picchiotti, Elisa Benetti, Chiara Fallerini…·Simone Furini
The paper proposes a post-Mendelian genetic model integrating common and rare variants to predict severe vs. mild COVID-19 outcomes in an Italian cohort.