Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

Show More All authors: The University of Texas MD Anderson Cancer Center, Houston, TX. The clinical course for patients with chronic lymphocytic leukemia (CLL) is diverse; some patients have indolent ...

OR: Odds ratio, 95% CI: 95% Confidence interval, HIV: Human Immunodeficiency virus This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I. This abstract does not include a full text ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

A hybrid modeling framework to optimize Chinese hamster ovary cell cultures for monoclonal antibody (mAb) production reduces the number of modeling parameters needed while returning results that ...