In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
11don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Philstar.com on MSN
Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
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