A new randomized control trial has found that turning mobile mental health intervention into a smartphone game can potentially improve well-being.
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
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.
Since mid-2019, the Fraunhofer IBMT has been developing an analysis platform as an alternative to animal experiments in drug development.
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.
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
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.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
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.