Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

Discover how quantitative analysis can illuminate hedge fund performance, offering insights into risk metrics and benchmarks ...

This collaboration enhances QT Imaging's Cloud SaaS Platform by integrating Olea Medical's advanced visualization, quantitative analytics and AI-ready imaging technologies to support clinical ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

This article evaluates bulk analysis and scratch analysis methods for particle dispersion, highlighting the superiority of ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

AI did more than simply replicate existing methods. By handling both the clustering of themes and their interpretation, AI ...