About The Study: This decision analytical model study estimates that COVID-19 vaccination (primarily annual COVID-19 vaccination) during pregnancy will likely continue to yield meaningful public health benefits in the U.S., especially to reduce COVID-19 hospitalizations in infants. COVID-19 vaccination during pregnancy has been shown to be safe. While there is global variation in policy recommending COVID-19 vaccination during pregnancy, the U.S. has a high risk of severe COVID-19 in newborns, underscoring relevance of maternal COVID-19 vaccination. 

About The Study: The rise in early-onset cancer incidence does not consistently signal a rise in the occurrence of clinically meaningful cancer. While some of the increase in early-onset cancer is likely clinically meaningful, it appears small and limited to a few cancer sites. Much of the increase appears to reflect increased diagnostic scrutiny and over-diagnosis. Interpreting rising incidence as an epidemic of disease may lead to unnecessary screening and treatment while also diverting attention from other more pressing health threats in young adults. 

George Mason University faculty member Y. Alicia Hong, a digital behavioral health interventionist, will support older adults in honing their digital technology skills. The program, through an interdisciplinary partnership, will pair youth and older adults to practice real-life AI scenarios.

Drawing on cutting-edge technology and interdisciplinary expertise, researchers are launching Menopause Health Engineering, a new initiative uniting faculty from Cornell’s Ithaca campus and Weill Cornell Medicine, to uncover how menopause shapes health and disease, and to develop urgently needed treatment strategies. The inaugural team includes nine faculty across four departments, with a core in the Meinig School of Biomedical Engineering.

Regenstrief Institute and SNOMED International have released LOINC® Ontology 2.0, the next version of The LOINC Ontology: A LOINC and SNOMED CT Interoperability Solution and a significant advance in their ongoing collaboration to streamline the exchange and use of health data worldwide. Version 2.0 continues to support the ongoing development of standardized laboratory orders and results for exchange and use in health data systems globally. The LOINC Ontology is fully owned by Regenstrief Institute and is available free of charge under the existing LOINC royalty-free license.