Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
All the co-founders graduated in 2017 and chose to start Exeliq instead of taking jobs. They had worked together in college ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...
Stepping into a "slightly used" 2026 R1S, one buyer found that ownership is legally theirs but digitally held hostage by the ...
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...
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