Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
1don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based ...
ICU patients’ needs can change rapidly. The AI studies each patient to make personalized nutrition predictions. In A ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
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