Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...

Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.

According to recent analysis by Markntel Advisors, the Global AI Model Risk Management (MRM) Market is experiencing accelerated growth, ...