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As part of the VIMOPROP project, the Fraunhofer Institute for Experimental Software Engineering IESE developed a modular software platform designed to support pharmaceutical manufacturers in the virtual planning, simulation, and commissioning of production processes. The goal was to make the manufacture of complex and highly customized Advanced Therapy Medicinal Products (ATMPs), such as gene and cell therapies, more flexible, efficient, and compliant with regulatory requirements. In doing so, the strict requirements of pharmaceutical production are taken into account from the very beginning.

As part of the "Mittelstand-Digital" funding priority of the Federal Ministry for Economic Affairs and Energy, Fraunhofer IESE, together with Ansbach University of Applied Sciences, Nuremberg Tech, and the Academy for Artificial Intelligence (AKI), supports companies in classifying and introducing AI and sustainability in their own operations.

UncertAInty (Uncertainty Quantification in AI Systems for International Compliance) is a WIPANO project funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK) that advances the systematic handling of uncertainty in AI systems. Over a 30-month period, partners from industry, research, and standardization are working together to clearly describe uncertainties in AI, make them measurable, and standardize them internationally as part of the development of ISO/IEC TS 25223.

Fraunhofer IESE has collaborated with the DIHK to design a digital ecosystem for register modernization in order to realize opportunities through platform business models for commercial registers. To this end, IESE has tailored and applied its proven and flexible methods for modeling ecosystems to the context of register modernization in a specific application.

Project for the automated creation of training content from existing data using generative AI.

The aim of the “OneViewMed” (OVM) project was to significantly improve the information situation for medical staff. Work processes were to be simplified and patient safety further increased. To achieve this, Fraunhofer IESE developed a graphical dashboard together with medical staff and the IT departments of Frankfurt University Hospital in order to facilitate the work of medical staff and ensure interoperability between the IT systems used on different wards.

How Fraunhofer IESE and Robert Bosch GmbH make complex safety-critical applications automatically testable using Linux as the operating system platform.

In the public project FHIR-Starter, Fraunhofer IESE and its project partners are researching ways of automatically analyzing full-text medical documents, such as findings, using large language models and making them available as FHIR resources in an interoperable manner - here we place particular emphasis on safeguarding and avoiding hallucinations.

The “Digital Twin Hattersheim” project is developing a concept that forms the basis for the implementation of an Urban Digital Twin for the future-oriented planning of Hattersheim's city center.

Apoplex Medical Technologies, based in Pirmasens, Germany, is a specialized service provider for cloud-based applications that support clinics and medical practices in the early detection of stroke risks. With automated ECG data analysis, Apoplex enables medical professionals to identify risks at an early stage and take targeted preventive measures. The solutions are flexible and available at any time, making preventive work easier in everyday clinical practice.