Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Pregnant patients are less likely to receive antiviral treatment for COVID than for influenza despite guideline ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

Long-term registry-linked analysis of nearly 15,000 adults shows that antibiotic use is associated with persistent changes in gut microbiome diversity and composition for up to 4–8 years. These ...

Vitamin D deficiency is significantly associated with polycystic ovary syndrome (PCOS) and may play a role in its development by worsening metabolic dysfunction. Mendelian randomization ...

Researchers developed a scalable framework that predicts insulin resistance using wearable-device signals, routine blood biomarkers, and demographic data, with stronger performance when these data ...

Combined assessment using MSUS semiquantitative scores and inflammatory biomarkers may improve diagnostic accuracy and ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

This post explores Greece's achievements, challenges and lessons on the path from crisis to recovery, and towards resilience. Greece stands for one of the worst economic crises and, at the same time, ...

Objectives Declining physical fitness, rising obesity and mental and behavioural diagnoses are growing public health issues in young adults. This study aimed to examine the associations between ...

In the development of a new power system dominated by green energy, green electricity has become a standardized commodity circulating nationwide through market mechanisms. The role of green ...