Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...
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Using causal AI to amplify sustainability in the textile industry
With the textile industry facing mounting scrutiny over the environmental impacts of fast fashion, two researchers from ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...
A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...
UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.
AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most ...
Researchers report that redesigning neurokinin-1 receptor (NK1R) antagonists can restore antidepressant-like effects in ...
Researchers in China are promoting a new machine-learning model built from satellite images that can offer a “lightweight and ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
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