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 ...

Le Ky Nam, the youngest competitor at the 2026 International Artificial Intelligence Olympiad in Slovenia, earned a bronze medal with his practical exam score of 99.26 out of 100.

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 ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

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 ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...