Healthier.IN.NRW innovation competition

The aim of the project is to profile inhibitors developed by the consortium for the protease HTRA1 in order to demonstrate target-mediated activity with patient samples and animal models of age-related macular degeneration and thus pave the way for application.

The aim of the project is to develop an automated, flexibly scalable production process for the robust production of cell-free off-the-shelf cell therapeutics based on extracellular vesicles (EVs) in the fields of vaccination, anti-tumor and immunomodulatory or regenerative therapies to counteract pathophysiological processes.

The aim of the project is to improve the central production step of active ingredients by developing continuous crystallization processes with subsequent product isolation.

The aim of the project is to identify therapeutic concepts for rare diseases using the example of neuromuscular diseases. A "know-how" is to be established that uses microscopy, multi-OMICs and bioinformatics to identify therapeutically addressable mechanisms. With the help of artificial intelligence (AI)-supported processes, suitable test substances (new or approved for other diseases) are also to be identified, preclinically tested and, in the case of already approved substances (so-called "drug repurposing"), used directly in individual treatment procedures.

The aim of the project is the assay development for personalized in vitro testing of solid biomaterials without animal testing to test biomaterials and their interaction with the patient's own bone cells.

The aim of the project is to create a virtual reality training environment with haptic feedback for surgical operations on hard and soft tissue. Software enables the creation of different scenarios, whereby tissue and bone properties can be parameterized to simulate different patients.

The aim of the project is to develop a sustainable, fully digital process chain for the individualized, gender-appropriate design and production of high-load lower leg-foot orthoses in order to enable efficient and individualized care for people with physical disabilities and to improve mobility and thus quality of life.

The aim of the project is to create a platform for medical image processing to enable the establishment of a robust, scalable, open-source architecture for the effective integration of artificial intelligence (AI) and image processing tools in radiology and neuroradiology.

The aim of the project is to establish and expand telemedicine and telemonitoring as well as the formation of so-called "palliative care competence centers". This should effectively reduce existing palliative care deficits through the standardized implementation and use of "electronic patient-reported outcomes measures" to record symptoms and needs as well as through tele-visits.

The aim of the project is to create an interactive platform for informal carers in the form of an app/web version. The platform will use artificial intelligence to provide personalized care information and psychosocial support services and find suitable service providers and care advisors based on individual care needs.

The aim of the project is to develop a robotic laser surgery system that will allow the precise resection of a tumor-infested jawbone using a short-pulsed 3 μm laser.

The aim of the project is to use molybdenum as a bioresorbable material for endovascular implants. On the one hand, a flow-modulating stent made of thin wires is to be braided and researched. On the other hand, a patient-personalized, intraaneurysmal implant is to be researched, which is to be produced using additive manufacturing.

The aim of the project is to develop a digital, adaptive, context-sensitive medical history questionnaire that is integrated into a telemedical information system. This questionnaire will use situation-dependent question dialogues and evidence-based methods to enable an individually optimized selection and sequence of questions.

The aim of the project is to establish and expand telemedicine and telemonitoring as well as the formation of so-called "palliative care competence centers". This should effectively reduce existing palliative care deficits through the standardized implementation and use of "electronic patient-reported outcomes measures" to record symptoms and needs as well as through tele-visits.

The aim of the project is to develop an algorithm for AI-based antibiotic resistance detection and MIC prediction from sequencing data for the five most important Gram-negative rod bacteria in order to provide personalized antibiotic therapy based on the minimum inhibitory concentration.

The aim of the project is to improve the quality of inpatient follow-up care for patients after a pulmonary embolism. To this end, an adaptable and user-friendly app is being developed that enables doctors to identify patients with an increased need for follow-up care using specific parameters. For patients, the app is intended to strengthen their ability to monitor their own state of health.

The aim of the project is to promote nutrition education and decision support for a personalized, sustainable and healthy diet in various nutritional environments using virtual and augmented reality (VR and AR) in order to uncover possible conflicting goals and to develop skills for a healthier and more sustainable diet.

The aim of the project is to develop two complementary modules for vital parameter sensor technology and development-promoting positioning of premature babies, which are intended to mimic the calming and stimulating movements of pregnancy on the one hand and improve handling, parent-child contact and the risk of injury on the other.

The aim of the project is to develop a pain-adaptive, asynchronous tele-ergotherapy approach to enable the implementation of independent, home-based occupational therapy exercise units with the help of automated detection of rehabilitation exercises and the recording of the accompanying pain intensity.

The aim of the project is to develop an innovative aptamer-based detection technology that will enable the rapid, specific and sensitive detection of pathogenic microorganisms in water.

The aim of the project is to characterize and further develop specific GRK5 inhibitors as active substances for the treatment of heart failure. These should target heart failure with preserved pumping function, which is currently still little researched, and complement the available drugs for heart failure diseases.

The aim of the project is to develop new innovative materials for biohybrid, long-term stable vascular implants using three examples: peripheral vascular prosthesis, coronary bypass and ureter replacement.

The aim of the project is to develop a demonstrator for an outpatient, IT-supported monitoring system that will enable psychotherapists in private practice to react precisely and quickly to fluctuations in the course of patients' everyday treatment during drug therapy.

The aim of the project is to develop a test strip for therapeutic drug monitoring, including the corresponding readout device. This should enable quantification within a few minutes in order to adjust the dosage of medication in a more targeted and personalized manner and thus avoid excessive medication consumption for patients.

The aim of the project is to automate the process of urine measurement in the healthcare sector with the help of digitalization and machine learning (SmartCatheter system). The aim is to reduce process times and the error rate.

The aim of the project is to develop a fully implantable, intelligent distraction nail for bone lengthening. This should enable the required distraction steps to be carried out in a freely programmable, sensor-guided and autonomous manner according to a customizable process sequence.

The aim of the project is to identify drug targets in bone marrow fibrosis in blood cancer. Using combined methods such as sequencing, AI and 3D bone marrow models, drug targets are to be identified and tested in the laboratory

The aim of the project is to develop a new treatment method for viral infections, in particular for the hepatitis E and influenza viruses. The focus is on the development of RNA sensors that can be "programmed" to viral RNAs in order to specifically treat virus-infected cells.