Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Misreading churn leads to flawed CLV assumptions. Analyze retention over time and identify the customers that actually drive ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

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

There are 25 Division I men's basketball teams in the state of Texas, and this is the first ranking of all 25 teams. This is ...

A prospective study found that diabetes mellitus and anuria are significant predictors of high post-void residual following ...

Breweries typically monitor fermentation by analyzing broth composition. Alcohols, esters, acids and residual sugars are ...

HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...