Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...
CMSWire

7 AI Competencies Marketers Must Master in 2026

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan

Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...