Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Researchers from Odisha and Saudi Arabia have developed a hybrid AI model achieving 95.49% accuracy in predicting liver disease. This innovative tool, combining deep learning and boosting, promises ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.

Using advanced machine learning and climate models, researchers have shown that the ancestors of crops like wheat, barley, ...