Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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 ...
1don 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 ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Patriots vs. Ravens on 'Sunday Night Football' ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.
SportsLine's AI Model has simulated Rams vs. Seahawks on Thursday Night Football and revealed an NFL SGP that pays 6-1 ...
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