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The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

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Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

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The use of biorecognition elements such as antibodies, aptamers, nucleic acids, and bacteriophages significantly enhances ...