A cross-sectional ecological study found that there are differences in travel distance to lung cancer screening (LCS) facilities by race and ethnicity, but those differences are only partially explained by rurality.

In new research, Maytal Saar-Tsechansky uses artificial intelligence to judge the judges: to evaluate the rates at which experts make successful decisions. Her machine learning algorithm can appraise both doctors and other kinds of experts — such as engineers who diagnose mechanical problems — when their success rates are not publicly available or not scrutinized beyond small groups of peers.

New findings from the National Institutes of Health’s (NIH) Researching COVID to Enhance Recovery (RECOVER) Initiative suggest that infection with SARS-CoV-2, the virus that causes COVID-19, may be associated with an increase in the number of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) cases. According to the results, 4.5% post-COVID-19 participants met ME/CFS diagnostic criteria, compared to 0.6% participants that had not been infected by SARS-CoV-2 virus.  RECOVER is NIH’s national program to understand, diagnose, prevent, and treat Long COVID.

The American Heart Association’s Leaders of Impact™ winner draws inspiration from personal connection to heart disease.

The University of Texas Health Science Center at San Antonio (UT Health San Antonio) and other national leaders have published an online book, "Advancing the Science of Cancer in Latinos: 2024 Conference Proceedings," providing promising research findings and strategies to address the leading cause of Latino death.