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 pangenome-based pipeline that captures structural genomic diversity from low-coverage sequencing data at the population level. Their innovative work, including a step-by-step protocol, is published in Genome Biology.
Scientific research in the life sciences, materials science, biomedical and environmental fields, alongside joint education programmes and reciprocal access to laboratories and infrastructure, are at the heart of the six-year agreement through which the two institutions are strengthening their cooperation as key players in MIND – Milano Innovation District.
Human Technopole, a leading biomedical and life sciences research institute based in Milan, is seeking three highly qualified candidates to join its Management Committee, the governing body responsible for the operational leadership of the Foundation.
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.
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.