Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

In the ever-evolving world of sports analytics, cycling stands on the brink of a data-driven revolution. By leveraging innovative data models, inspired by diverse industries, new opportunities for ...

Uncovering mechanisms regulating immune system responses is key to strengthening and redirecting them whenever necessary in cancer and infections as well as understanding autoimmune diseases. However, ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

The joint research team from IBS, KAIST, and Korea University has developed a new prediction model that overcomes the limitations of existing mood episode prediction models. While previous models ...

Have you ever felt like your Excel skills hit a ceiling, no matter how many pivot tables you create? You’re not alone. While standard pivot tables are a reliable tool for summarizing data, they often ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...