Real-time fMRI neurofeedback (rtfMRI-NF)—a technique that enables participants to self-regulate functional brain activation—is considered a potential intervention for psychiatric disorders. Applied ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

A model for predicting slope stability is developed using Categorical Boosting (CatBoost), which incorporates 6 slope features to characterize the state of slope stability. The model is trained using ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. The rapid adoption ...

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects. Predictive modeling is a type of data mining that is used in a ...

Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...