The birds and the bees. Say no to drugs. Advice from parents is an expected, if cringeworthy, part of growing up. 

But for some children, the odds of receiving one piece of parental wisdom known as “The Talk” – strategies for safely handling a police encounter – is heavily influenced by a child’s race and gender. 

A study from Rutgers University-New Brunswick quantifies just how much influence these factors play.

“The advice parents give their kids about interacting with police – hands on the wheel, no quick or furtive movements – is shaped by lived experiences,” said Ashley Jackson, an assistant professor in the Rutgers School of Social Work and the lead author of the study published in Youth & Society. “It also changes by gender and race.”

Empirical and theoretical studies can be distinguished among the areas of investigation of the renin-angiotensin-aldosterone system (RAAS) and its relationship with the development of cardiovascular diseases. Theoretical work is based mainly on the bioinformatic analysis of key elements of RAAS (genes, proteins, metabolites), on calculations and predictions of protein interactions, and on mechanisms of RAAS gene expression regulation. An associative gene network based on big data analysis allows us to reveal relationships among the proteins, regulatory pathways, and biological processes acting in RAAS, as well as to identify new diagnostic markers, therapeutic targets, putative molecular mechanisms of the development of RAAS-associated diseases, drug interactions, and drug toxicity.

New research shows that retail central bank digital currencies (CBDCs) can be designed to protect user privacy, one of the biggest concerns surrounding the future of digital money.

Chaperone-like proteins are involved in the pathogenesis of coronavirus infection through regulation of the viral life cycle, immune response, and antigen presentation. A recently discovered class of chaperones, called heat-resistant obscure proteins (Hero proteins), performs functions similar to other molecular chaperones. This study aimed to investigate the association between the gene encoding the Hero protein SERF2 (Hero7) and the risk of severe COVID-19.

PHILADELPHIA — A Penn Medicine–led team has developed a first‑of‑its‑kind artificial intelligence system that interprets cardiac MRI scans with performance approaching expert clinicians. Trained on more than 300,000 MRI video clips from roughly 20,000 patients, the model can assess heart function and diagnose dozens of diseases using only non‑contrast imaging. The work was published today in Nature Biomedical Engineering.