About Rosario Lombardo
Rosario received cum laude his BSc and MSc in Computer Science from the University of Pisa and earned his PhD in Bioinformatics from the University of Verona.
He is currently Head of Bioinformatics at COSBI where he supervises several research projects in collaboration with pharma and nutrition companies, driving the innovation in bioinformatics towards industrial scientific research. Among his current interests are new approaches to pathway/network-based biological interpretation of omics data, new methods for extracting and representing scientific knowledge from Big Data and enabling technologies for complex Quantitative Systems Pharmacology mathematical models. Rosario is/has been co-advisor of several intern/BSc/MSc/PhD students.
Hunting for foods that can help infants build strong immune systems would traditionally have researchers trial potential foods with infants, then do blood analysis to see if there were positive benefits. We describe a technique that dramatically narrowed the efforts required in identifying potential weaning foods to test a boost of infant immunity in clinical trials.