Human Technopole Foundation (HT) and Enea Tech have signed an agreement to jointly develop possible synergies in the field of scientific research and technology transfer.
Among the goals of HT, the Italian institute for the life sciences, there is also the promotion of innovation and progress through technology transfer and the creation of strong relations with industry, to favour the transformation of scientific discoveries into tangible applications, for the benefit of patients and society.
The mission of ENEA Tech is to invest in innovative technologies of national and international strategic interest, in close collaboration with research centres, universities, star-tups and innovative SMEs, spin-offs and larger companies.
Thanks to the agreement, signed by the President of Human Technopole, Marco Simoni, and by the Director of Enea Tech, Salvo Mizzi, the two organisations will activate specific research collaborations, including for the analysis and enhancement of innovative technologies.
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.
Are you passionate about AI, mathematical modelling, or genomics, and eager to work on high-impact research in biomedical science? Human Technopole is excited to offer four fully-funded PhD positions as part of the prestigious PhD Programme in Data Analytics and Decision Sciences of the Politecnico di Milano.
Manage Cookie Consent
This website uses technical cookies to provide you with a better browsing experience and, subject to your consent, profiling cookies to offer you information and advertising in line with your preferences. For more details, you can consult our cookie policy by clicking on the link below, or set your preferences by clicking "set preferences". By selecting "accept cookies" you consent to the use of all types of cookies while you can revoke your consent by clicking on "refuse". By deciding to refuse or closing the banner, only the technical cookies necessary for the correct functioning of the site will be activated.
Technical cookies (required)
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Third party cookies for statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Third party cookies for profiling
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.