Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
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Blood metabolite profiling outperforms BMI in predicting pregnancy complications
This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
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