A distinct pattern of neural activity during rest can predict the rise of self-focused thoughts a few seconds later. People who score high on internalizing frequently move in and out of this neural signature during rest.

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and their surrounding cells, leading to potential discoveries regarding the development of hard-to-treat cancers. Findings from a new study—published Aug. 21 in Nature Communications—could help guide the identification of predictive biomarkers for multiple cancers and better inform the effectiveness of different treatment options based on individuals’ specific type of disease.

New study offers a powerful AI-assisted method for uncovering exactly how tuberculosis drugs kill the bacteria, opening the door to smarter treatment combinations that could work faster.