Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
13don 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 hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...
Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.
As data volumes accelerate, AI is becoming deeply embedded in safety operations and local qualified persons for PV are ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback