A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Leaders love AI because it makes knowledge instantly reusable—drafts, code, analysis on demand. A recent study uses a formal model to show what happens when “good-enough” answers become essentially ...

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Ecorobotix Introduces AI-Powered Precision Farming Solutions To Enhance Crop Care And Sustainability. Pasco, Washington-based agri-tech innovator expands its precision agriculture portfolio, ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.

Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

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 ...