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 ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...
With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
POWDER Magazine on MSN
New AI Weather Model Is Designed for Predicting Snow in the Mountains
The model takes normal weather models and makes them higher resolution, before delivering them to OpenSnow subscribers.
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