Gamification: Intervention app may improve mental health
A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
research
The embedded ethics approach in AI development
Alena Buyx, Professor of Ethics in Medicine and Health Technologies at TUM, explains the embedded ethics approach.
AI offers clues to a 500-year old mystery
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
Exoskeleton research marches forward
Researchers developed a new measurement method to test whether an exoskeleton and the person wearing it are moving smoothly and in harmony.
Machine learning tool predicts intestinal disease in premature infants
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Neural network helps doctors explain relapses of heart failure
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Using CRISPR to knock down gene messages
Researchers have harnessed CRISPR technology to target gene messages (messenger RNA) involved in early vertebrate
Network medicine makes drug repurposing effective
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
A new way to deliver drugs through the skin
Scientists have showed that applying "temporal pressure" to the skin of mice can create a new way to deliver drugs.
Fitness tracker: useful, but increase anxiety
Self-quantifying may better the understanding of our individual health, but also gives rise to anxiety.
Self-learning ventilation supports COVID-19 patients
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
BCI training reduces phantom limb pain
Scientists used brain-computer-interface to train the brains of patients to reduce phantom-hand pain.
Genetic diseases research with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Optimizing neural networks on a brain-inspired computer
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
AI finds COVID-19 needles in a coronavirus haystack
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Robot jaws shows effect of medicated chewing gum
Research has shown a robot with built-in humanoid jaws could provide opportunities for pharmaceutical companies to develop medicated chewing gum.
A microfluidic chip system as alternative to animal experiments
Since mid-2019, the Fraunhofer IBMT has been developing an analysis platform as an alternative to animal experiments in drug development.
Janggu makes deep learning a breeze
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.
Your new lab partner: the robot scientist
Researchers have built an intelligent mobile robot scientist that can work 24-7, carrying out experiments by itself.
Closer threats inspire a more primitive kind of fear
Using VR to make threats appear near or far is what makes it harder to extinguish the fear of a close-up threat and more likely that you’ll have some long-term stress from the experience.
Towards an AI diagnosis like the doctor's
Researchers show how they can make an AI show how it's working, as well as let it diagnose more like a doctor, thus making AI-systems more relevant to clinical practice.
AI tool speeds up COVID-19 research
Computer scientists are aiming to speed up treatments and vaccines for COVID-19 — by making researchers’ jobs easier.
AI and probabilistic modelling applied to oncology
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
Game helps neuroscientists understand second language learners
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.
Neural networks: artificial brains need sleep too
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
VR study: our visual world of color is incorrect
A study finds that people are aware of surprisingly limited color in their peripheral vision; much of our sense of a colorful visual world is likely constructed by our brain.
Using machine learning to estimate COVID-19’s seasonal cycle
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
AI could help stem tide of school violence
Researchers developed an AI system that analyzes linguistic patterns to predict a youth’s risk for committing acts of school violence.
Brain-computer interfaces: AI reduces need for recalibration
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
