Another option is geothermal power. A recent study published by Project InnerSpace and Future Ventures found that one U.S.
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 ...
1d
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 ...
2don MSN
Global study maps spread of potentially dangerous Vibrio vulnificus in warming coastal waters
Vibrio vulnificus, a bacterium that is potentially very dangerous to humans, is a natural component of marine plankton. The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has now presented ...
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