Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...

From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data quickly. At Kennesaw State University, Associate Professor of Information ...

Dry eye disease is a common ocular condition that can significantly impair quality of life, and dysfunction of the meibomian glands is a major contributing factor. Advances in infrared meibography ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Researchers from NYU Abu Dhabi’s Centre for Brain and Health, in collaboration with United Arab Emirates University (UAEU), ...