Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Computer model aimed at optimising treatment of diabetic kidney diseases

09.04.2020

Diabetic kidney diseases are the main cause of kidney failure in industrialised countries. An international, EU-funded R&D project – which is being headed by the Medical University of Innsbruck, and involves collaboration with the Medical University of Vienna and international partners – is being implemented with the aim of using computer software to provide personalised predictions of the disease’s progression and bring about improvements in individuals’ responses to treatment. Project findings will have the potential for application also in other chronic conditions.

An international consortium has started the R&D project “DC-Ren: Drug combinations for rewriting trajectories of renal pathologies in type II diabetes’.


Projektkoordinator und Direktor der Innsbrucker Univ.-Klinik für Innere Medizin IV, Gert Mayer (mit einem Dialysegerät). Foto: MUI

Aimed at developing systematic approaches in order to discover improved combination of drug treatment for complex diseases, the international research initiative ranked on top of 50 other applicants to secure the EUR 6m in funding.

The R&D project is headed by Gert Mayer, Director of the University Hospital for Internal Medicine IV (Nephrology and Hypertension) at the Medical University of Innsbruck. The goal is to develop a data-based support tool for decision-making with a view to optimising personalised therapies.

... more about:
»Nephrology »diabetic »kidney disease

The university will be working with teams from Austria (emergentec biodevelopment GmbH, and a working group led by Rainer Oberbauer, head of the Division of Nephrology and Dialysis at the Medical University of Vienna /Vienna General Hospital), Denmark, Germany, Israel, Italy and the Netherlands.

Mathematical model for predicting disease trajectory

“Diabetic kidney diseases are the main cause of kidney failure in industrialised countries,” says Innsbruck-based nephrologist and project coordinator Gert Mayer. “Although we have seen a significant improvement in the range of treatment options available, it is still not possible to fully predict their effectiveness in individuals.”

A mathematical model is intended to generate predictions on disease trajectories and responses to treatment, which in turn will help to improve the precision of personalised combined medications. “The scientific approach is based on an innovative new patient assessment concept in the form of a hybrid AI solution developed by one of the project partners, Vienna-based technology company emergentec biodevelopment GmbH,” Mayer explains.

Key biobanks and clinical data will be used in combination with experimental, analytical and statistical evaluations in order to develop a prototype technology solution, which will then be validated in clinical settings. Mayer sees huge potential in the model: “Besides assessing new health technologies and the possibilities they open up, the aims of the DC-ren project are clearly a move towards enhancing precision medicine as a means of treating complex diseases.”

“As in our two previous EU projects on this subject, we will use innovative approaches to further improve the effectiveness of treatments for diabetic kidney disease,” added Rainer Oberbauer of MedUni Vienna.

Diabetic kidney disease more prevalent

Around 50 million people in Europe, or 10% of the population, suffer from chronic kidney conditions. Meanwhile, about 40% of diabetics suffer kidney damage as a result of the disease. The steady increase in the prevalence of hypertension and diabetes in Europe means that kidney, heart and vascular diseases are also becoming more widespread.

Early recognition and prevention are playing a central role in treatment, and are also becoming a major focus in nephrology research. If the disease is diagnosed at any early stage and its trajectory can be forecast accurately, targeted treatment can be administered, removing the need for dialysis or a kidney transplant, which become necessary in the later stages of the condition.

According to Gert Mayer: “Renal insufficiency not only restricts the functioning of the kidneys, it also affects the cardiovascular system and bone metabolism – the consequence is an increased risk of heart attack and osteoporosis.”

Further information: www.dc-ren.eu

Project partners:

Austria:
Medical University Innsbruck (Lead: Gert Mayer)
Medical University Vienna (Lead: Rainer Oberbauer)
emergentec biodevelopment GmbH Vienna (Lead: Bernd Mayer)
Germany: Mosaiques Diagnostics GmbH Hannover (Lead: Harald Mischak)
The Netherlands: Academisch Ziekenhuis Groningen (Lead: Hiddo J Lambers Heerspink)
Denmark: Region Hovedstaten Hillerod (Lead: Peter Rossing)
Israel: Weizmann Institute of Science Rehovot (Lead: Doron Lancet)
Italy: European Centre for Living Technology, University Ca`Foscari Venezia (Lead: Irene Poli)

Wissenschaftliche Ansprechpartner:

Univ.-Prof. Dr. Gert Mayer
Medical University of Innsbruck
University Hospital of Internal Medicine IV
Anichstraße 35, 6020 Innsbruck, Austria
Tel. +43 (0)512 504-25856
gert.mayer@i-med.ac.at, www.i-med.ac.at

Weitere Informationen:

https://www.i-med.ac.at/pr/presse/2020/24.html [Photos for download]

David Bullock | Medizinische Universität Innsbruck

Further reports about: Nephrology diabetic kidney disease

More articles from Medical Engineering:

nachricht Lighting array in the ear: First use of multi-channel cochlear implants with microscale light-emitting diodes
06.07.2020 | Universitätsmedizin Göttingen - Georg-August-Universität

nachricht Artificial intelligence identifies, locates seizures in real-time
30.06.2020 | Washington University in St. Louis

All articles from Medical Engineering >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Electrons in the fast lane

Solar cells based on perovskite compounds could soon make electricity generation from sunlight even more efficient and cheaper. The laboratory efficiency of these perovskite solar cells already exceeds that of the well-known silicon solar cells. An international team led by Stefan Weber from the Max Planck Institute for Polymer Research (MPI-P) in Mainz has found microscopic structures in perovskite crystals that can guide the charge transport in the solar cell. Clever alignment of these "electron highways" could make perovskite solar cells even more powerful.

Solar cells convert sunlight into electricity. During this process, the electrons of the material inside the cell absorb the energy of the light....

Im Focus: The lightest electromagnetic shielding material in the world

Empa researchers have succeeded in applying aerogels to microelectronics: Aerogels based on cellulose nanofibers can effectively shield electromagnetic radiation over a wide frequency range – and they are unrivalled in terms of weight.

Electric motors and electronic devices generate electromagnetic fields that sometimes have to be shielded in order not to affect neighboring electronic...

Im Focus: Gentle wall contact – the right scenario for a fusion power plant

Quasi-continuous power exhaust developed as a wall-friendly method on ASDEX Upgrade

A promising operating mode for the plasma of a future power plant has been developed at the ASDEX Upgrade fusion device at Max Planck Institute for Plasma...

Im Focus: ILA Goes Digital – Automation & Production Technology for Adaptable Aircraft Production

Live event – July 1, 2020 - 11:00 to 11:45 (CET)
"Automation in Aerospace Industry @ Fraunhofer IFAM"

The Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM l Stade is presenting its forward-looking R&D portfolio for the first time at...

Im Focus: AI monitoring of laser welding processes - X-ray vision and eavesdropping ensure quality

With an X-ray experiment at the European Synchrotron ESRF in Grenoble (France), Empa researchers were able to demonstrate how well their real-time acoustic monitoring of laser weld seams works. With almost 90 percent reliability, they detected the formation of unwanted pores that impair the quality of weld seams. Thanks to a special evaluation method based on artificial intelligence (AI), the detection process is completed in just 70 milliseconds.

Laser welding is a process suitable for joining metals and thermoplastics. It has become particularly well established in highly automated production, for...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

International conference QuApps shows status quo of quantum technology

02.07.2020 | Event News

Dresden Nexus Conference 2020: Same Time, Virtual Format, Registration Opened

19.05.2020 | Event News

Aachen Machine Tool Colloquium AWK'21 will take place on June 10 and 11, 2021

07.04.2020 | Event News

 
Latest News

Coupled hair cells in the inner ear – „Together we are strong!“

06.07.2020 | Health and Medicine

Innovations for sustainability in a post-pandemic future

06.07.2020 | Social Sciences

Carbon-loving materials designed to reduce industrial emissions

06.07.2020 | Materials Sciences

VideoLinks
Science & Research
Overview of more VideoLinks >>>