Ivan Tomic

This study identifies innate antiviral readiness as a key driver of TSCM cell expansion, showing its predictive value for viral clearance and vaccine design.

Immunaut identifies distinct immunophenotypic responder groups shaped by baseline immune landscapes using a comprehensive LAIV dataset, advancing precision vaccinology and guiding personalized immunization strategies.

Genular integrates scRNA-seq data with genomic and proteomic databases to define cellular identities, states, and differentiation pathways through marker score analysis.

SIMON is an open-source platform that enables biomedical researchers to apply machine learning algorithms to high-dimensional data without requiring advanced programming skills.

The paper introduces FluPRINT, a database integrating multiple parameters to study influenza vaccine immunity, enabling machine learning analysis of vaccine response markers.