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Hot Topics of the Day|PHGKB
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10/25/2023

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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An AI revolution is brewing in medicine. What will it look like?
Mariana Lenharo et al. Nature 2023 10 (7984) 686-688

From the paper: "Although AI enthusiasts now tend to steer clear of bold claims about machines replacing doctors, many say that these models could overcome some of the current limitations of medical AI, and they could one day surpass physicians in certain scenarios. “The real goal to me is for AI to help us do the things that humans aren’t very good at.” But there’s a long journey ahead before these latest tools can be used for clinical care in the real world. "

Public Health Genomics: Time to Sharpen the Focus.
Colleen M McBride et al. Public Health Genomics 2023 9

From the paper: "We begin this next step in our evolution by deliberatively aligning our scope in accordance with a planning model put forward by the Association of State and Territorial Health Officials (ASTHO). ASTHO is an organization founded over 80 years ago to provide leadership nation-wide in supporting, equipping, and advocating for improvements in the collection and use of public health data, expanded access to care and treatment, and created new preparedness frameworks to respond to crises. ASTHO’s 10 essential public health services have been adapted for the field of public health genomics "

Predicting Breast Cancer Risk Using Radiomics Features of Mammography Images
Y Suzuki et al, JPM< October 24, 2023

From the abstract: " Mammography images contain a lot of information about not only the mammary glands but also the skin, adipose tissue, and stroma, which may reflect the risk of developing breast cancer. We aimed to establish a method to predict breast cancer risk using radiomics features of mammography images and to enable further examinations and prophylactic treatment to reduce breast cancer mortality. We used mammography images of 4000 women with breast cancer and 1000 healthy women from the ‘starting point set’ of the OPTIMAM dataset, a public dataset."

Validity of Diagnostic Support Model for Attention Deficit Hyperactivity Disorder: A Machine Learning Approach
KC Chu et al, JPM, October 25, 2023

From the abstract: "An accurate and early diagnosis of attention deficit hyperactivity disorder can improve health outcomes and prevent unnecessary medical expenses. This study developed a diagnostic support model using a machine learning approach to effectively screen individuals for attention deficit hyperactivity disorder. Three models were developed: a logistic regression model, a classification and regression tree (CART), and a neural network. The models were assessed by using a receiver operating characteristic analysis. In total, 74 participants were enrolled into the disorder group, while 21 participants were enrolled in the control group. "


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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