A report analyzed the frequency and magnitude of savings from purchasing generic prescriptions through the Mark Cuban Cost Plus Drug Company (MCCPDC) compared with cost sharing under employer-sponsored insurance.

Blacks, Hispanics and Asians use asthma inhalers less than whites, suggesting that socioeconomic factors and lack of access to specialty care are at the root of this gap.

A new Expert Consensus Decision Pathway by the American College of Cardiology (ACC) provides recommended strategies for improving postpartum care for individuals with and at risk for short- and long-term cardiovascular disease (CVD). The clinical document guides postpartum maternal cardiovascular (CV) health, recommending comprehensive postpartum cardiovascular care visits; early outpatient follow up for CV symptom monitoring; effective management of postpartum CV emergencies; and noncardiovascular aspects of care like lactation, mental health and contraception. The report published online today in JACC, the flagship journal of the ACC.

The rise of generative AI has sparked widespread concern about job security and the future of human work. In his doctoral dissertation at the University of Vaasa, Finland, Zhe Zhu reveals that when employees trust the system and see it as a helpful partner rather than a threat, AI can actually increase work engagement and help build more sustainable careers.

Higher education must rethink assessment practices in response to the growing integrity challenges posed by generative artificial intelligence (GenAI), say authors in this Policy Forum. They analyzed data on student use of this technology across 20 major public research universities in the United States. The impact of GenAI on higher education is highly debated. In many ways, the technology is making common forms of evaluation, such as tests, projects, or term papers, less reliable as a measure of student capability. This highlights the need for a better understanding of where GenAI use is most prevalent and where misuse is most likely to occur. Igor Chirikov and colleagues analyzed survey data from more than 95,000 students across 20 U.S. research universities during the 2023-2024 academic year. Their findings reveal widespread GenAI use among students: roughly two-thirds of students reported using it over the study period, with 37% using it regularly. However, usage patterns differed considerably by discipline, with higher adoption in STEM fields. For example, 62% of computer science students reported regular usage, compared with only 24% of students in the arts. Notably, some social science disciplines, such as business and economics, also demonstrated high levels of adoption. Patterns of GenAI-assisted cheating also varied across disciplines. Estimated rates of misuse were generally higher in non-STEM fields, with economics (17%) and journalism (16%) showing relatively high rates, whereas biology (5%) was among the lowest. The study also found significant demographic disparities in GenAI use, with higher adoption among male, White, and Asian students than among female and underrepresented minority students. Although differences tied to socioeconomic status and disability were smaller, the authors suggest that the findings raise concerns about unequal access to AI tools and literacy. Chirikov et al. propose several paths forward. They note that there is no single “AI-proof” assessment model and suggest reforms tailored to individual disciplines. They place a focus on preparing students to use AI responsibly in professional contexts.

In a new study published in Sustainability, researchers surveyed Rwandan young adults on their financial knowledge, skills, and behaviors to identify gaps in their DFL. They found modest strengths in some areas and gaps in others, as well as disparities by gender and education.

Launching today at the 79th World Health Assembly with more than 14,000 entries across all of healthcare, the first global database of its kind.