Highlights

  • Colorectal Cancer: ML Enhances Cetuximab Response Predictions

    An international collaborative study led by Human Technopole, Candiolo Cancer Institute IRCCS in Turin, the University of Turin, and the Wellcome Sanger Institute in Cambridge (UK) has identified new factors associated with therapeutic response in colorectal cancer. The research has led to the development of a machine-learning model capable of accurately predicting the effects of cetuximab, a drug in clinical use, on different colorectal tumour subtypes. Funded by the AIRC Foundation, the study paves the way to identifying molecular features that could serve as biomarkers for predicting treatment response in patients with this type of cancer.

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  • First Open Framework for Linking Rare Disease and Environmental Data

    A multidisciplinary team led out of the ADAPT Centre at Trinity College Dublin has published cutting-edge research on a new tool designed to enable efficient data linkages between rare diseases and environmental datasets. Published recently in Nature Digital Medicine, the researchers present SERDIF (Semantic Environmental and Rare Disease data Integration Framework), an innovative framework that enables health data researchers to efficiently link environmental and health data sources through location and time information.

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  • HT External Seminar Series

    The Human Technopole External Seminar Series features leading scientists from various fields, including genomics, neurogenomics, structural biology, computational biology, health data science, biophysical modelling, and molecular cell biology.

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  • A polarized cortical assembly showing a spatial gradient of expression along its longitudinal axis (from left to right, colors from blue to yellow-red). @Camilla Bosone (IMBA)

    A new model system for cortical development in vitro

    Researchers from Human Technopole, the Institute of Molecular Biotechnology and Bicocca University established a method for developing brain assembloids that allows reproducing salient aspects of the antero-posterior polarity of the human cerebral cortex in vitro and opens new possibilities for disease modelling. The study is published in Nature Methods.

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Research at HT

Improving human life and technology by investing in human health and prevention research is the ultimate goal of Human Technopole. We need to prevent and cure diseases to allow people of all ages to not only live longer, but also live better.

To accomplish its mission, HT’s research strives to unravel fundamental mechanisms relevant to human physiology and disease using a multi-scale systems biology approach, based on a combination of experimental research and theory, coupled with computational biology and Artificial Intelligence.

Shared Research Infrastructure

To fulfil the needs of the Italian life science research community, HT infrastructure includes 5 National Facilities, serving as technological hubs and incubators for developing and disseminating new tools and methodologies and for carrying out top-level research.

Courses and Conferences

The overarching and inspiring theme for HT’s external training activities is to create at HT a centre of excellence for training promising researchers in the biomedical sciences, while providing broad access to HT’s expertise, methods, and resources to the external community. Courses and conferences are supported by institutional and external funding, and sponsorships are welcome.

Work with us

We offer the opportunity to be part of a new, dynamic research institute promoting a highly collaborative and international working environment.

We aim to attract the best resources in each field with a selection based on merit and transparency as we believe that highly diverse teams produce the best and most innovative results.

If you are a passionate person who likes to seize great challenges, consider applying for one of our scientific or administrative vacancies.