Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
6don 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 ...
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 ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
This stock has strong momentum across hardware, software, and consumer services.
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...
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