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' ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
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 ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
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