Manuta
Big Data: predictive model for complications in diabetes
01.05.2023
For their research, the team led by Rainer Oberbauer, Head of the Division of Nephrology and Dialysis at MedUni Vienna's Department of Medicine III, and Mariella Gregorich from MedUni Vienna's Center for Medical Data Science drew on data from major international studies.
AnnaStills
Type 2 diabetes: risk displayed in early pregnancy blood samples
27.04.2023
Researchers from the University of Turku discovered that women who developed prediabetes after pregnancy had aberrations already in their early pregnancy blood serum metabolomic profile.
Science Brush | Hassan A. Tahini
How electricity can heal wounds three times as fast
21.04.2023
Using electric stimulation, researchers in a project at Chalmers University of Technology, Sweden, and the University of Freiburg, Germany, have developed a method that speeds up the healing process, making wounds heal three times faster.
Caltech
‘Smart’ bandages monitor wounds and provide targeted treatment
03.04.2023
Most of the time, when someone gets a cut, scrape, burn, or other wound, the body takes care of itself and heals on its own. But this is not always the case. Diabetes can interfere with the healing process and create wounds that will not go away and that could become infected and fester.
University of Malaga
MyDiaMate app strengthens mental health for adults with type 1 diabetes
29.03.2023
International researchers –from the Netherlands, Germany, United Kingdom, and Spain– work together to develop an app that improves physical and emotional well-being in patients with type 1 diabetes mellitus (T1D).
Kingston University
Medication adherence tool predicts hospital admissions of Type 2 Diabetes patients
28.03.2023
A pioneering behavioural diagnostic tool developed by Kingston University, London and healthcare technology company Observia to help patients take their medication as prescribed is the first holistic model in the world to accurately predict hospital admissions and readmissions in people living with Type 2 Diabetes, according to a new study.
HAWK
Imaging: role of immune cells in early diabetic cataract development
22.02.2023
The team of researchers, led by Prof. Dr. Ali Hafezi-Moghadam, Director of the Molecular Biomarkers Nano-Imaging Laboratory (MBNI), in collaboration with Professor Dr. Christoph Rußmann, Dean of the Health Campus and a Visiting Professor at MBNI, found early signs of damage in the eye before the onset of type 2 diabetes.
CC BY-SA 2.0.
More accurate way of checking the blood flow in the feet of patients with type 2 diabetes
15.02.2023
Aston University scientists have discovered a more accurate way of checking the blood flow in the feet of patients with type 2 diabetes.
dolgachov
Type 2 diabetes: Machine learning can predict poor glycemic control from patient information systems
13.01.2023
The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds.
Aalto University
Gaining unprecedented view of small molecules by machine learning
06.01.2023
A new tool to identify small molecules offers benefits for diagnostics, drug discovery and fundamental research. A new machine learning model will help scientists identify small molecules, with applications in medicine, drug discovery and environmental chemistry.
Laboratory for Nanobioelectronics / UC San Diego
Multi-tasking wearable continuously monitors glucose, alcohol, and lactate
16.05.2022
Imagine being able to measure your blood sugar levels, know if you’ve had too much to drink, and track your muscle fatigue during a workout, all in one small device worn on your skin. Engineers at the University of California San Diego have developed a prototype of such a wearable that can continuously monitor several health stats—glucose, alcohol, and lactate levels—simultaneously in real-time.
Nico Arnold | diafyt MedTech
Managing diabetes with diafyt thanks to self-learning and smart technology
22.04.2022
We all make mistakes from time to time or forget to do things. But people with diabetes can have serious health problems if they miscalculate or inject the wrong insulin dose. A research team from the Dresden University of Technology (TU Dresden) and a startup from Leipzig aim to make living with diabetes easier.
Gabriel Salg/Universitätsklinikum Heidelberg
Using 3D printing to create insulin-producing cells
22.02.2022
3D printing opens a world of endless possibilities – for both industrial and medical applications. A cross-national project recently created tissue that produces insulin, spelling hope for patients with diabetes.
PantherMedia / Robert Przybysz
Deep Learning: How artificial neural networks can support diagnostics
03.12.2021
The use of artificial intelligence and deep learning in medical diagnostics is growing rapidly. Ubotica’s neural network is based on deep learning and detects the presence of diabetic retinopathy in retinal images. Dr. Holger Pfeifer talks about the project successes, and reveals the obstacles researchers must continue to overcome in adopting deep learning systems.
PantherMedia/Wavebreakmedia (YAYMicro)
Chronic wounds: new, inexpensive wound dressing
29.07.2021
An MSU-led team is developing an inexpensive biopolymer dressing to heal injuries like diabetic foot ulcers that affect millions of patients all over the world.
PantherMedia/Wavebreakmedia Ltd
Controlling insulin production with a smartwatch
15.06.2021
Many modern fitness trackers and smartwatches feature integrated LEDs. The green light emitted, whether continuous or pulsed, penetrates the skin and can be used to measure the wearer's heart rate during physical activity or while at rest.
Tumor therapy: drug delivery pump instead of injection
01.02.2021
Drugs always have undesired side effects. Cytostatics are powerful drugs used to treat cancer. They reach almost all cells in the body, killing healthy cells as well as cancer cells in the process. A targeted delivery to the specific cellular site would be a gentler treatment.
Autonomous medical devices: running well in your body
01.02.2021
In theory, autonomous medical technologies can be used in a diagnostic or therapeutic capacity inside the body under certain conditions. This may not sound like a new invention at first. After all, implantable cardioverter-defibrillators have monitored and fixed abnormal heart rhythm for many years.
The University of Huddersfield
Sense Glucose Earring for managing type 1 diabetes
10.12.2020
A product design graduate from the University of Huddersfield has defeated thousands of entries from around the world to become one of the finalists of the 2020 Global Grad Show with their design for a discrete earring that monitors blood sugar levels and delivers feedback in real-time.
Digital and personalized diabetes management
21.10.2019
Digital blood glucose measurement via a sensor on the arm, glucose values in an app and data evaluation with the help of software: diabetes experts, product specialists at Roche Diabetes Care Germany and a patient talk in our report on MEDICA.de about the future of diabetes treatment.
Sven Delbeck/Fachhochschule Südwestfalen
Blood Sugar Monitoring: Using Infrared Instead of Invasive Techniques
22.03.2019
Over six million people in Germany have diabetes. It is estimated that almost 400 million people are affected by this disease worldwide. Diabetes sufferers must prick their fingers several times a day to monitor their blood sugar.
A digital look inside the human eye – when algorithms diagnose Diabetes
02.01.2019
Diabetes mellitus or simply diabetes has become very common and is often described as a lifestyle disease. More and more people are suffering from this chronic metabolic disorder. Next to established diagnostic procedures, digital retinal screening has shown to be successful - a promising technique that will also play an important role in the diagnosis of other diseases in the future.
Diabetes digital – smart support for diabetics
02.01.2019
Monitoring blood sugar levels, counting carbohydrates, calculating insulin doses, and keeping accurate records - diabetes is a data-intensive disease that demands a lot of self-discipline and attention from the patients. Some concerns are patients neglecting to keep a food journal, "fudged" test results or calculation errors. Digital solutions help patients easily manage the large volumes of data.
DiaDigital: making sense of diabetes apps
02.01.2019
While they are very useful, health apps have one major drawback: anyone can release and distribute them unchecked. Only some apps require medical device certification. So how can users spot a great, safe and useful app? When it comes to diabetes apps, the “DiaDigital” seal of distinction is the answer.