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Last Posted: Mar 24, 2023
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Public Health and Diagnostic Approaches to Risk Stratification for Melanoma
AC Geller et al, JAMA Dermatology, March 15, 2023

Dermatologists and public health experts must remain open to evidence-based new diagnostics that can have a profound effect on practice. However, these important collaborations must be guided by rigorously designed studies and a body of evidence that carefully weighs the benefits and potential harms to patients. In doing so, we must ensure that our education, screening, and incorporation of new diagnostics considers populations and patients who are at greatest risk of fatal melanoma.

Rare Disease Day 2023
US Genomics Education Program, February 28, 2023

Today is Rare Disease Day, a global campaign that shines a spotlight on rare disease and on the patients, families and carers worldwide whose lives are affected by rare conditions. This Rare Disease Day, the GEP will officially launch its online course. The course takes learners on a journey that begins with the reality of living with a rare disease, then moves on to the practicalities of identifying and testing for rare conditions, before returning to patient stories and examining the wider implications that results may have for families.

The impact of genetic education on referral of patients to genetic evaluation: Findings from a national survey of nephrologists
HM Rasouly et al, Genetics in Medicine, February 12, 2023

Most adult nephrologists reported insufficient genetic education during residency (65%) and fellowship training (52%). Lower rating of genetic education and lower knowledge in recognizing signs of genetic kidney diseases were significantly associated with lower number of patients referred to genetic evaluation (p-value<0.001). Most nephrologists reported that improving their genetic knowledge is important for them (>55%).

Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model.
Ashish Sarraju et al. JAMA 2023 2

This exploratory study found that a popular online AI model provided largely appropriate responses to simple CVD prevention questions as evaluated by preventive cardiology clinicians. Findings suggest the potential of interactive AI to assist clinical workflows by augmenting patient education and patient-clinician communication around common CVD prevention queries.

Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the 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 update, 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.