Projects

The projects we work on and those we have completed are the best references for our research work. Fraunhofer SCAI is involved in numerous projects funded by the German Federal Government and the European Commission. The list below presents the projects chronologically – new projects first. You can sort the list by selecting categories.

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  • © EXCELLERAT

    A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will then be able to deliver more accurate simulation results. Fraunhofer SCAI is developing efficient data analysis methods for the much larger amounts of data generated in this way, which will also provide the engineer with detailed insights into the complex technical interrelationships.

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  • Pioneer – open Innovation Platform for optimizing production systems

    EU-Project / Project start / January 01, 2023

    PIONEER aims to develop and implement an interoperable material modeling and manufacturing ecosystem that enables multi-directional data flow along the material value chain by linking product design and distributed modeling data with information from material characterization, manufacturing processes, and product quality criteria. PIONEER combines a design-by-simulation approach with manufacturing and quality data to optimize product development strategies in high-mix/low-volume production systems.

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  • Real4Reg – improving regulatory processes using real-world data

    EU-Project / Project start / January 01, 2023

    Beim Projekt Real4Reg, das vom Bundesinstitut für Arzneimittel und Medizin­produk­te (BfArM) koordiniert wird, sollen Abrechnungsdaten KI-gestützt ausgewertet werden, um bessere Erkennt­nisse zu Arzneimittelneben- und -wechselwirkungen zu generieren.

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  • Patients with severe psychiatric disorders such as schizophrenia, bipolar disorder and clinical depression often develop resistance to drug therapy. Even when the early signs of treatment resistance (TR) are detected, patients must undergo lengthy procedures before medical professionals can prescribe adequate pharmaceutical care. The EU-funded Psych-STRATA project intends to analyse extensive clinical, genetic and biological data of psychiatric patients to establish criteria for early detection of TR. Based on the findings, it will propose treatment strategies for patients at risk of TR. The project will further create machine learning models that can predict TR risk and patient response to treatment, thus assisting medical professionals in providing more personalised treatment.

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  • REMEDi4ALL – Drug repurposing

    EU-project / Project start  / September 01, 2022

    REMEDi4ALL aims to make a significant leap forward in drug repurposing. This promising approach to drug development, consisting of identifying, testing, and validating new therapeutic indications for existing medications, is a developing field but faces numerous barriers and systemic inefficiencies. Still, its potential to significantly bring down times and costs of drug development - it focuses on already approved, discontinued, shelved or investigational therapeutics - makes this novel strategy attractive for rare and neglected conditions, cancer, emerging public health threats such as COVID-19 or new drug combinations. It also translates into more sustainable health systems.

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  • ADIS stands for "Early Diagnosis of Alzheimer's Disease by Immune Profiling of Cytotoxic Lymphocytes and Recording of Sleep Disturbances." The project is funded by the EU Joint Programme for Neurodegenerative Diseases Research (JPND). JPND is the largest global research initiative to address neurodegenerative disease challenges. The ADIS project (start: July 2022) will run for three years and has a budget of 1.3 million euros, of which 300,000 euros will go to Fraunhofer SCAI.

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  • Biomarkers for depression

    Project start / May 01, 2022

    We aim to validate and commercialise biomarkers and the resulting products for affective disorders to address the many unmet needs along the entire disease trajectory.

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  • © AIOLOS 2022

    The goal of the AIOLOS project (Artificial Intelligence Tools for Outbreak Detection and Response) is to develop a digital platform to allow for early detection of new respiratory pathogens epidemics, monitor their spread, and inform decision-makers on appropriate countermeasures. AIOLOS will provide insights for private and public decision-making in a web-based dashboard, which leverages real-time data from multiple data sources, advanced artificial intelligence (AI), and predictive modeling.

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  • DigitalTwin-4-Multiphysics-Lab

    Project start / January 01, 2022

    This laboratory (Fraunhofer SCAI, University of Applied Sciences Bonn-Rhein-Sieg, Dr. Reinold Hagen Foundation) aims to create new digital-twin concepts for SMEs.

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