Applied computer scientists at the University of Bamberg are currently developing an AI medical companion that will help doctors in recognising and diagnosing types of cancer and pain.
The Faculty of Life Sciences at the University of Bayreuth in Kulmbach is launching new interdisciplinary research on the supply of proteins through Novel Food. The composition of the disciplines under which Novel Food will be examined is unique: Researchers from the fields of biochemistry, food metabolome, psychology, nutrition sociology, food law and food supply chain management are involved. They will compare the quality of proteins from conventional foods with those from alternative foods.
International research groups led by Prof. Dr. Aldo Faisal, Professor of Digital Health at the University of Bayreuth, have developed a novel set of tools for diagnosing and monitoring neurological diseases based on body-worn sensors (wearables) and artificial intelligence. Digital biomarkers can determine currently reached disease stages and expected disease progression with unprecedented accuracy. In two studies published in Nature Medicine, the researchers report on successful applications of this AI technology, using Friedreich's ataxia and Duchenne muscular dystrophy as examples.
The composition of foodstuffs, but also the sequence of dishes, is important for the perfect taste experience of a menu. This insight, based on experience, is well known. The molecular causes of the pleasure-enhancing effects, on the other hand, are still poorly understood. Using the example of chicory, surrogate and roasted coffee, a study by the Leibniz Institute for Food Systems Biology at the Technical University of Munich (LSB) now explains for the first time why the order in which we eat food can be decisive for bitter taste perception and what role bitter taste receptors play in this process.
Researchers at the Munich Institute of Robotics and Machine intelligence (MIRMI) at the Technical University of Munich (TUM) have developed a model that enables a robot to serve tea and coffee faster and more safely than humans – with no sloshing. The mathematics behind the pendulum used in the concept is more than 300 years old.
Lifting a glass, making a fist, entering a phone number using the index finger: it is amazing the things cutting-edge robotic hands can already do thanks to biomedical technology. However, things that work in the laboratory often encounter stumbling blocks when put to practice in daily life. The problem is the vast diversity of the intentions of each individual person, their surroundings and the things that can be found there, making a one size fits all solution all but impossible. A team at FAU is investigating how intelligent prostheses can be improved and made more reliable.
The distribution of microplastics and nanoplastics in the environment, the potential of human exposure and particle uptake, and the absorption of these particles into tissues are topics that are being intensively researched worldwide. An international research group of the EU project "PlasticsFatE" under the leadership of Prof. Dr Christian Laforsch at the University of Bayreuth has evaluated international research literature on these issues. The results presented in the journal "NanoImpact" show: Concerning the risks for humans, the evidence is less certain than the broad spectrum of publications might suggest.
In search of new biomarkers for nutrition and health studies, a research team from the Leibniz Institute for Food Systems Biology at the Technical University of Munich (LSB) has identified and structurally characterized three metabolites that could be considered as specific markers for individual coffee consumption. These are degradation products of a group of substances that are formed in large quantities during coffee roasting but are otherwise rarely found in other foods. This and the fact that the potential biomarkers can be detected in very small amounts of urine make them interesting for future human studies.
If you gain weight, the fat cells in the body get bigger. So in the extremely obese, those fat cells are greatly enlarged. Now, researchers from the Technical University of Munich (TUM) were able to show how enlarged fat cells can cause metabolic diseases. They also developed non-invasive examination methods to determine the size of human fat cells.
Can surgeons quantify the risk of aphasia when removing a brain tumor? To find out, researchers at Klinikum rechts der Isar of the Technical University of Munich (TUM) are analyzing the brain as a network. In a current study with 60 patients, they already achieved an accuracy rate with three quarters of their predictions.