Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Around the world, regions are facing midday oversupply and evening shortages, leading to wasted renewable energy, ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
Down manager Conor Laverty says his side's Dr McKenna Cup loss to Armagh on Wednesday was a "good learning curve" for the newcomers to his panel. Laverty started with just seven of the side that ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
This Why ROC focuses on the new collaboration between Evolvoptic and the University of Rochester's LLE Mike Johnson gives update on Jan. 6 plaque Alaska Airlines pilot who safely landed plane after ...
News-Medical.Net on MSN
Global analysis uses machine learning to map drivers of cancer outcomes
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Arvid Lindblad is preparing himself for a challenging Formula 1 debut in 2026 after receiving frank advice from Racing Bulls team leadership. Red Bull’s junior protégé has been warned by team bosses ...
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