Human Technopole’s Centre for Innovation and Technology Transfer (CITT) and Nature Italy are organizing – on 26 and 27 October 2023 – a conference entitled “Future Trends in Translational Medicine”, aimed at investigating the new frontiers of research in the life sciences.
The event will be attended by leading figures from science and industry and is aimed at stimulating debate on the social impact of innovation and how society’s needs can help guide research towards these new frontiers. The ultimate goal is to explore trends in research investment to provide insights for policy makers and potential industrial partners.
The initiative is dedicated primarily to an audience of researchers in the early stages of their careers, offering an opportunity to reflect on ways to further enhance their research, as well as a discussion with representatives from academia, industry, finance, institutions, and civil society on the research ahead.
Afterward, the first edition of the Life Science TTO Network Contest – “Pay attention to the value of your research: the top 5 missed opportunities” – will take place.
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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