Rethinking the Path to Bladder Cancer Staging: Can Magnetic Resonance Imaging Speed Up Time to Receipt of Therapy in Patients With Muscle-Invasive Bladder Cancer? In the article that accompanies this ...

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that his research team's quantitative approach to developing and evaluating ...

Data science methods can help overcome challenges in measuring and analyzing social determinants of health (SDoH), according to a paper published in The Lancet Digital Health, helping mitigate the ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

What makes the SLU health data science program unique? SLU's health data science program provides strong training in data collection, data cleaning and preprocessing, statistical analysis, and ...

A research team led by The Chinese University of Hong Kong (CUHK) has developed a novel integrated all-optical signal processor (OSP) to address the massive data transmission demands of ...

This project was supported by Contract No. HQ0034-10-D-0003 TO#12 with the U.S. Department of Defense and Grant No. H98230-14-1-0116 from the National Security Agency. Any opinions, findings, ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

Business investment in data science is one of the most important advances of the past decade. While some may argue data science has already worked its way into every industry, there are still areas ...