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.
Sign up MyPHGKB to receive the daily hot topic email alert.
Archived Hot Topics of the Day By Date
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. "