10.01.2025
Clinical relevance HSI/MSI
Multi- and hyperspectral imaging (MSI and HSI) can support the intraoperative assessment of tissue perfusion, identification of tissue structures and tumor tissue. The aim of this project is to acquire and analyze spectral data with different MSI and HSI systems in a (pre-)clinical environment. Potential clinical fields of application and limits of the technology will be evaluated. Furthermore, procedures for the automatic classification and visualization of tissue using spectral image data are developed and implemented. The resulting information will be available to surgeons intraoperatively using augmented reality methods.
QoE
The project “Development of a system for a Quality of Experience in telemedical data exchange (QoE)” aims to improve the quality of telemedicine in mobile medical units. Telemedicine applications, especially in rural or remote areas, suffer from unstable network connections. The QoE system prioritizes medically relevant data and reduces less important data streams in order to make optimal use of the connection quality in real time. It compensates for fluctuations in network quality through intelligent data prioritization and compression to ensure continuous, high-quality treatment. The focus is on applications in emergency vehicles, where network coverage is often inadequate. The use of modern technologies such as AI and data-intensive IT concepts ensures reliable and high-quality telemedical care.
17.09.2024
SoKoRoMed
The project “Soft- und Kontinuums-Robotik für medizinische Anwendungen (SoKoRoMed)” is concerned with the development of patient- and application-specific soft end effectors for clinical interventions. (read more)
30.07.2024
SurgiTrace
The SurgiTrace project aims to develop an intelligent, AI-supported system for effective resource planning during surgical procedures. (read more)
12.07.2024
FazioTrain
As part of the FaszioTrain project, a realistic training environment for fasciotomies on the lower leg is being developed in collaboration with Phacon GmbH. To this end, various types of tissue are being produced using rapid prototyping methods and integrated into a model that replicates the physical properties, colours and textures of real anatomical structures. The model will consist of several anatomical structures that realistically reproduce the real anatomy of the lower leg, including the various compartments, nerves and vessels. To enable the realistic simulation of fasciotomy, the model will simulate the swelling of blood congestion in the tissue and the resulting pressure on the nerve tracts. Users should learn how to open the tissue properly, work their way to the release point and achieve the best possible relief.
06.05.2024
TeleNoma
The TeleNoma project aims to develop an improved communications infrastructure for mobile medical teams and facilities in rural and underserved areas. The core of the project is the use of nomadic radio networks and the integration of 5G technologies in an open platform to provide a cost-effective and scalable solution for telemedicine applications. The project aims to develop a hardware-software kit that establishes a temporary nomadic 5G radio network and realises a seamless connection of medical devices and applications for mobile medical teams in an easy-to-use solution. By combining nomadic radio networks and telemedicine, a new overall technical concept is to be developed that can bring medicine at the level of a maximum care provider to underserved areas. The availability of a suitable communication and medical IT infrastructure should enable efficient medical services such as diagnoses, treatments, vaccinations, consultations and preventive medical check-ups as well as the ad-hoc deployment of medical teams in special or crisis situations.
Certainty
The EU consortium “CERTAINTY – A Cellular Immunotherapy Virtual Twin for Personalized Cancer Treatment” has launched a 4.5-year project to implement virtual twin technology for cancer therapy personalization. Immunotherapies have gained traction in oncology, involving comprehensive data collection to guide diagnosis, treatment, and monitoring. ICCAS aims to harness these data through virtual twins that simulate disease prognosis and treatment outcomes. The project develops technological infrastructure for virtual twins, multimodal data evaluation, personalized predictions, and context-specific user interfaces to support clinical decision-making.
CERTAINTY integrates various analysis methods and prediction models into a comprehensive, multimodal representation of patients, enhancing personalized simulations and clinical decisions. A modular virtual twin for cancer treatment is being created, initially focusing on CAR T-cell therapies and multiple myeloma. The twin will reflect the unique pathophysiology of each patient, updating continuously during treatment, emphasizing molecular patterns, big data processing, machine learning, in vitro models, and mechanistic models. The project prioritizes secure interfaces for data access while considering socio-economic factors and future applications.
MIRACLE-5
The project aims to evaluate the performance of modern 5G campus networks for XR-based medical applications. The objective to examine collaborative XR-based telemedicine from a technological and user-centric standpoint, to assess its effectiveness, and suitability for clinical use. To achieve this, a technology demonstrator will be designed and developed to enable testing of an XR-telemedicine application over 5G campus networks. The resulting application will be evaluated by various end-users from relevant clinical fields. Anticipated challenges are synchronization of data coupled with low latency for the targeted cloud and edge-cloud use cases. The partnership between LeFx and ICCAS combines cutting-edge XR visualization with profound experience in campus networks based on 5G technologies for medical applications. Collaboration with Telefonica further enables the employment of modern managed service networks, which can be used in addition to ICCAS’s own 5G campus network. These networks will be managed and modified for the intended XR applications. Medical use cases for the technological demonstrator will be developed and tested by a consortium of clinical experts from Helios Parkkankenhaus Leipzig and the Universitätsklinik Leipzig. The UML contributes its extensive medical expertise through collaboration with specialized clinics, its own expertise with the development of AR/XR applications, as well as experience in establishing and operating 5G campus networks.
19.04.2023
Open5GPacemaker
The focus of the project is on the interoperability of medical devices and high-bit-rate wireless data transmission using 5G, among other technologies. The goal of ICCAS in the project.Open5GPaceMaker is to integrate Time Sensitive Networks (TSN) into an existing medical device in a hospital environment. To achieve this goal, the clinical requirements for signal transmission in medical devices, as well as current technical solutions from medical device manufacturers and communication technology vendors.
For Open5GPaceMaker, a demonstrator will be produced that allows real-time wireless transmission of its control commands within an operating room using TSN over 5G. Through an existing and long-standing collaboration with the University Hospital Leipzig, realistic tests of the developed demonstrators are performed. On the level of communications engineering, ICCAS works closely with project partners and contributes experience from the field of medical applications. In cooperation with the University Hospital Leipzig, the clinical requirements for TSN over 5G in a hospital environment will be determined and made available to the project partners. The results will be implemented and tested in the LivingLab
26.10.2023
VOLTA
Due to rapid advances in medical and pharmacological research, physicians today have increasingly effective options for the treatment of cancer. However, as the appropriate drugs are increasingly tailored to the specific characteristics of the patient and disease, new challenges arise in taking into account the complex diagnostic data and available therapeutic information (e.g. clinical trials). Since 2020, the Innovation Center Computer Assisted Surgery (ICCAS) at Leipzig University Medical Center, together with the Clinic for Hematology, Cell Therapy and Hemostaseology at Leipzig University Hospital, has been developing the IT platform “KAIT” – a comprehensive system for the analysis of medical information, which is intended to support the process of therapy decision-making in the clinical picture of multiple myeloma in the long term. The aim is to provide the treating physicians with all the latest information on the available therapeutic options so that every decision can be made on the basis of the latest findings. This will make an important contribution to the treatment of myeloma patients in Germany, regardless of where they receive medical care. Within the VOLTA project, this new and innovative form of clinical assistance will be further developed and extensively tested and optimized with clinical experts. These measures will ensure that “KAIT” can make a reliable and safe contribution to everyday clinical practice in the long term.