Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
ICU patients’ needs can change rapidly. The AI studies each patient to make personalized nutrition predictions. In A ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Morning Overview on MSN
6 scary AI predictions for 2026
Artificial intelligence is racing toward 2026 with a mix of promise and dread, and the scariest predictions are no longer ...
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