Monday, the 16th – Director Iain Mattaj spoke as the distinguished lecturer at the inauguration ceremony of the 2019-2020 PhD academic year of the University of Pavia.
He was later awarded with the Medaglia Teresiana, the highest honor confered by the University of Pavia.
The university of Pavia was established as a Studium generale in 1361 and It has ranked among the leading research institutions in Italy and Europe. Famous scientists like Alessandro Volta (the inventor of the electrical battery) and Gerolamo Cardano (the founder of the studies on probability), lawyers like Cesare Beccaria (the 18th century advocate for the abolishment of death penalty), poets like Ugo Foscolo and Vincenzo Monti and – more recently – the Nobel Laureates Camillo Golgi (medicine), Giulio Natta (chemistry) and Carlo Rubbia (physics) spent most or part of their academic career in that University.
The Teresian medal was inspired by 18th century models and is offered to illustrious guests of the University. On recto of the medal is represented the coat of arms of the University, enclosed in the inscription “DCCCXXV Capitulare Lotharii – MCCCLXI Generale Studium constitutum“. In the cartouche there is the wording “Alma Ticinensis Universitas“; on the verso there is a refined modern version of the Palazzo del Piermarini with the wording “Athenae Insubricae restitutae MCMLIII. Athenaeum Ticinense scientiis, magistris, operibud suctum MDCCLXXII“.
PRECISE (Predictive Relationships Explaining Cancer Genetic Interactions and Synthetic Essentiality) is a pan-European initiative that aims to move cancer research beyond cataloguing cancer vulnerabilities towards predicting them before they are experimentally tested. Human Technopole (HT) is among the founding partners of the consortium, with Francesco Iorio leading its scientific activities across the institute alongside other HT research groups. The consortium and its scientific vision are presented in a Nature Genetics commentary.
Researchers at Human Technopole have developed a novel machine learning-based method that transforms composite fluorescence microscopy images with overlapping signals into separate images revealing individual cellular structures. The tool is published in Nature Methods, with experimental models and training data openly available on GitHub.
The mechanisms of life are complex. What happens at the molecular level shapes cells, tissues, organs and entire organisms. To understand human biology, and what drives disease, we need to connect these different scales rather than study them in isolation. That is our approach at Human Technopole.
In a large international collaboration, Human Technopole has contributed to the development of three complementary risk prediction models that estimate heart failure risk across the entire cardiovascular disease spectrum. Together, these tools enable transparent, data-driven risk assessment and support personalised treatment strategies and more sustainable healthcare delivery.
The Social Innovation Campus 2026 was a great success, bringing thousands of students to MIND to discuss social innovation, sustainability and the future of work. From 25 to 27 February, young people engaged with organisations, institutions and companies to explore how innovation can generate social impact. Human Technopole contributed to this collective effort through different voices and perspectives.
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