What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
The applications and systems that software developers use on a daily basis are evolving as AI quickly becomes integrated into workflows. At the same time, the number of AI-native apps optimized for ...
PanMETAI combines AI and NMR metabolomics to detect early-stage pancreatic cancer from a blood sample, achieving 93 percent ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
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Vietnamese 8th grader scores near perfect to win bronze at world AI Olympiad for high school students
Le Ky Nam, the youngest competitor at the 2026 International Artificial Intelligence Olympiad in Slovenia, earned a bronze ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...
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