President Marco Simoni attended the Milano Digital Week
01 June 2020
President Marco Simoni attended the Milano Digital Week
During the Milan Digital Week, President Marco Simoni participated in a debate on Goal 11 of the United Nations Sustainable Development Goals to discuss possible changes in the strategy to achieve this important goal in light of the Covid19 emergency.
President Simoni stressed how this pandemic has generated a short-circuit that has led to the economic and to several social repercussions. He underlined how some lessons can be drawn for the future, in particular the importance of preparing societies to face some global challenges of our time.
The President highlighted how sustainability must go hand in hand with the ability of society to become increasingly ready to face these challenges through the development of new sectors capable of making the community stronger.
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.
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