PROJECTS
3DSecret (EIC Pathfinder Open 2022)
The proposed breakthrough of 3DSecret is to develop novel technologies to unravel the stochastic patterns behind metastasis at the single-cell level, in the context of breast cancer. Within a multidisciplinary consortium with partners from Portugal, Spain, Italy, and the UK, DSH will leverage AI and deep learning to integrate multi-omics and predict cancer evolution.
CN-HPC (PNRR, NextGeneration EU)
A National center on HPC, Big Data, and Quantum Computing that will operate on 10 strategic areas (spokes). FBK participates in Spoke 8, “In Silico medicine & Omics data,” whose aim is to design new clinical trials performed with computer simulations (in silico) and develop a technology platform enabling the analysis of large amounts of data (Big Data) using AI to contribute to the understanding of several diseases, and to the development of new personalized drug treatments.
D3 4 Health (PNC, NextGeneration EU)
Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care: Mathematical and statistical methods will be employed for the analysis and interpretation of data from organs-on-chips (OOCs) and organoids obtained by ad-hoc lab experiments, for the construction of Digital Twins. FBK participates in Spoke 2, “Multilayer platform to support the generation of the patients’ Digital Twin.”
iCulture (HORIZON 2022)
The goal of iCulture is to develop a digital bio-platform and co-culture bioprocess to prospect and utilize macroalgae responsibly and sustainably. Over 80 TB of existing seaweed data and 700.000 genes will be mined by machine learning algorithms to identify macroalgae characteristics responsible for compositional changes, recovery, resilience and dispersion, to deliver key features that are important for responsible resource management.
CardioSCOPE (HORIZON MSCA Staff Exchanges 2021)
This project aims to bring together experts from Companies and Αcademia throughout Europe to exchange and expand their expertise and enhance the Research and Innovation capacity of Europe in the field of cardiovascular diseases. CardioSCOPE will give deeper insights into acute coronary syndrome (ACS) development and progression toward major adverse cardiovascular events (MACE) through machine learning/artificial intelligence models able to identify multiomics signatures specific to ACS and MACE.
NeuroArtP3 (Italian Ministry of Health, Ricerca finalizzata 2018)
The main objective of NeuroArtP3 is to develop P3 solutions (preventive, predictive, personalized) for degenerative diseases (e.g. Parkinson’s, Alzheimer’s) by leveraging the integration of clinical and imaging data.
REACTS (Autonomous Province of Trento)
AI modeling for personalized rehabilitation trajectories for patients suffering from Chronic obstructive pulmonary disease and Heart Failure.
MERIT (EU Digital Europe Programme)
Development of a new pan-European educational ecosystem for the training of digital specialists.
Mild Cognitive Impairment
This is a collaborative project involving APSS and FBK, which aims to leverage machine learning to detect which neuropsychological tests act as early predictors of progression in a cohort of patients with a diagnosis of mild cognitive impairment (MCI) or dementia. A second objective of the collaboration is to predict the patient’s diagnosis from the test results.
