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Abstract Objective Safe home tracheostomy care requires engagement and troubleshooting by patients, who may turn to online, AI‐generated information sources. This study assessed the quality of ChatGPT responses to such queries. Methods In this cross‐sectional study, ChatGPT was prompted with 10 hypothetical tracheostomy care questions in three domains (complication management, self‐care advice, and lifestyle adjustment). Responses were graded by four otolaryngologists for appropriateness, accuracy, and overall score. The readability of responses was evaluated using the Flesch Reading Ease (FRE) and Flesch–Kincaid Reading Grade Level (FKRGL). Descriptive statistics and ANOVA testing were performed with statistical significance set to p

Abstract Objective To evaluate the quality of thyroidectomy‐related posts on TikTok, the fastest‐growing social media platform worldwide. Methods Videos posted from April 2020 to September 2022 were queried on TikTok using the search terms “thyroidsurgery,” “thyroidectomy,” and “thyroidremoval.” Two reviewers recorded thematic, demographic, and performance data of these posts. The DISCERN instrument was used to evaluate the quality and reliability of the information contained in the videos. Descriptive statistics were used to characterize post‐submitter demographics and video content. Simple and multiple linear regression analyses were used to evaluate the association between DISCERN scores and video characteristics. Univariate analysis of variance was performed to compare DISCERN scores between author types. Results In this study, 228 TikTok videos were included which totaled over 23 million views. On average, each video accumulated more than 6000 “likes,” 300 comments, and 70 shares. The average total DISCERN score was 27.46, which is deemed to be of poor overall quality. Upon multiple linear regression, video duration (β = 4.66, p

Abstract Objective To understand the quality of informational Graves' disease (GD) videos on YouTube for treatment decision‐making quality and inclusion of American Thyroid Association (ATA) treatment guidelines. Study Design Cross‐sectional cohort. Setting Informational YouTube videos with subject matter “Graves' Disease treatment.” Method The top 50 videos based on our query were assessed using the DISCERN instrument. This validated algorithm discretely rates treatment‐related information from excellent (≥4.5) to very poor (

To identify therapeutic targets for glioblastoma (GBM), we performed genome-wide CRISPR-Cas9 knockout (KO) screens in patient-derived GBM stem-like cells (GSCs) and human neural stem/progenitors (NSCs), non-neoplastic stem cell controls, for genes required for their in vitro growth. Surprisingly, the vast majority GSC-lethal hits were found outside of molecular networks commonly altered in GBM and GSCs (e.g., oncogenic drivers). In vitro and in vivo validation of GSC-specific targets revealed several strong hits, including the wee1-like kinase, PKMYT1/Myt1. Mechanistic studies demonstrated that PKMYT1 acts redundantly with WEE1 to inhibit cyclin B-CDK1 activity via CDK1-Y15 phosphorylation and to promote timely completion of mitosis in NSCs. However, in GSCs, this redundancy is lost, most likely as a result of oncogenic signaling, causing GBM-specific lethality.

Today’s knowledge-based, global commerce requires continuous investment in human capital through postsecondary education for countries to be fiercely competitive. Countries, such as China and India, are experiencing growth in the number of people participating in postsecondary education; the United States has fallen behind. While America needs to focus on increasing college access and degree completion among underrepresented ethnic minorities, particularly in Science, Technology, Engineering, and Mathematics (STEM), educators and policymakers assert that this is particularly important for African American males. Increasing matriculation and graduation rates for African Americans is not only a matter of equity, but in the context of STEM, it has major implications for the competitiveness of the United States in the global economy. This article identifies strategies that educators and policymakers can employ to promote the participation of African American males in college in general, particularly in STEM.

BackgroundOpenAI’s ChatGPT is a source of advanced online health information (OHI) that may be integrated into individuals’ health information-seeking routines. However, concerns have been raised about its factual accuracy and impact on health outcomes. To forecast implications for medical practice and public health, more information is needed on who uses the tool, how often, and for what. ObjectiveThis study aims to characterize the reasons for and types of ChatGPT OHI use and describe the users most likely to engage with the platform. MethodsIn this cross-sectional survey, patients received invitations to participate via the ResearchMatch platform, a nonprofit affiliate of the National Institutes of Health. A web-based survey measured demographic characteristics, use of ChatGPT and other sources of OHI, experience characterization, and resultant health behaviors. Descriptive statistics were used to summarize the data. Both 2-tailed t tests and Pearson chi-square tests were used to compare users of ChatGPT OHI to nonusers. ResultsOf 2406 respondents, 21.5% (n=517) respondents reported using ChatGPT for OHI. ChatGPT users were younger than nonusers (32.8 vs 39.1 years, P