1don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...
News-Medical.Net on MSN
New AI system streamlines segmentation of biomedical images
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
AI is changing everything, including cybersecurity. Here are six creative AI methods you can use to help protect your ...
Ozak AI, an AI-based crypto-trading platform blending blockchain and AI, is gaining investor attention with a current presale ...
While AI is a popular buzzword these days, it's worth noting that the Cambridge team's detector is not based on a large language model like ChatGPT. Instead, the model uses relatively simple machine ...
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