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Hot Topics of the Day|PHGKB
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11/22/2023

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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Archived Hot Topics of the Day By Date

Psychological factors underlying attitudes toward AI tools.
Julian De Freitas et al. Nat Hum Behav 2023 11 (11) 1845-1854

From the abstract: "What are the psychological factors driving attitudes toward artificial intelligence (AI) tools, and how can resistance to AI systems be overcome when they are beneficial? Here we organize the main sources of resistance into five main categories: opacity, emotionlessness, rigidity, autonomy and group membership. We relate each of these barriers to fundamental aspects of cognition, then cover empirical studies providing correlational or causal evidence for how the barrier influences attitudes toward AI tools. "

Including diverse populations enhances the discovery of type 2 diabetes loci
S Fatumo, Nat Rev Genetics, November 22, 2023

From the paper: "A recent multi-ancestry GWAS meta-analysis greatly advances our understanding of the genetic basis of T2D by encompassing a broad range of populations. The insights gained from this research provide a foundation for future functional investigations, therapeutic development and the translation of GWAS findings to improve global health outcomes for all, regardless of genetic background. "

Natural language processing system for rapid detection and intervention of mental health crisis chat messages.
Akshay Swaminathan et al. NPJ Digit Med 2023 11 (1) 213

From the abstract: "Patients experiencing mental health crises often seek help through messaging-based platforms, but may face long wait times due to limited message triage capacity. Here we build and deploy a machine-learning-enabled system to improve response times to crisis messages in a large, national telehealth provider network. We train a two-stage natural language processing (NLP) system with key word filtering followed by logistic regression on 721 electronic medical record chat messages, of which 32% are potential crises. "


Disclaimer: Articles listed in Hot Topics of the Day are selected by Public Health Genomics Branch to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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