Against the background of the experiences with the past pandemic months, family doctors increasingly wish to be able to communicate with colleagues and/or patients via privacy-compliant messaging apps. The aim of the project is the evaluation of asynchronous telemedical procedures, which are implemented for the purpose of improving access to specialized care in rural areas.

According to current knowledge, DNA has unique properties that make it a useful nanoscale building material. The use of DNA makes it possible to perform computations to implement conditional behavior of particles. This can be used to develop efficient methods to detect and possibly treat diseases in a smart way.

"Flexible Skills Lab Architecture" (FLEXLAB) is a "space lab for space labs" and provides an environment for the design and model testing and evaluation of intelligent, hybrid learning environments consisting of analog and digital components. Through modular infrastructure and furnishing as well as technical tools to support design, space labs can be designed and tested here.

The goal of the investment project with funding from the REACT-EU funding initiative of the European Regional Development Fund (EFRE) is to establish an infrastructure in a particularly adaptable laboratory environment for holistic motion analysis and therapy optimization with a focus on walking, based on AI-supported rehabilitation robotics. The multimodal motion acquisition and analysis, the gain of knowledge by means of explainable AI and the optimized therapy by intelligent rehabilitation robotics aimed at thereby are the milestones of the project. The strong interdisciplinary network within the project addresses the necessary prerequisites for precise diagnostic and therapeutic procedures in times characterized by the pandemic effects on the healthcare system.

The aim of the MOMENTUM project is to develop and evaluate suitable concepts and technologies for networking emergency medical treatment along the process chain from the emergency scene to the hospital. The motivation of the project lies in an improvement of the information flow between the helpers at the emergency scene and specialists in the emergency room or the operations center.

Although accurate pain management is essential in a wide variety of medical contexts, pain assessment often remains an obstacle (for example, in coma patients). The PainMonit project seeks to create an automated objective system for detecting a level of pain based on physiological sensor data to provide assistance to patients, physicians, and clinicians.

In the accompanying project PiTiPS, expertise from research and practice (social, nursing and behavioral sciences, participation and technology research) is bundled in order to systematically integrate the diversity of informal care into research and design processes. The focus is on questions concerning conditions for success and barriers to participation in the development of socio-technical innovations.

Mobile health offers, i.e. offers that support healthcare electronically with the help of mobile devices, are increasingly becoming the focus of (research) interest. The aftercare app for breast cancer patients is based on the evaluated aftercare concept 'new credo' and supports breast cancer patients in continuing the physical activities learned in rehabilitation in everyday life at home.

SAM-Smart stands for "SicherheitsAssistenzManager" (Safety Assistance Manager), which is designed to assist consumers with "tedious" and "error-prone" safety tasks without restricting their autonomy. The final product should proactively warn of possible safety risks in an unobtrusive but clearly visible way - and interact with consumers in a natural way using speech. Its ultimate aim is to retrieve detailed, comprehensible information on the potential threat. The project seeks to investigate and develop cost-effective security solutions and automated AI-based corrective measures for low-quality products for the mass market

While research and development in the field of sensor networks and body area networks has reached increasing maturity in recent years, networks of nanodevices in the body represent a new and fascinating research direction. The vision of these networks is that nanodevices patrol the body, taking measurements wherever necessary and sending the collected data to the outside world. In this project, building on the established network simulator ns-3, a simulation framework is developed that integrates certain aspects in its model.