Among women who develop diabetes during pregnancy, night owls have a higher risk of complications for mother and baby than early birds do, according to a study whose results will be presented at ENDO 2021, the Endocrine Society’s annual meeting.
While it’s an unfair reality that women who develop gestational diabetes are ten times more likely to develop type 2 diabetes later in life, only a third of these women realise that they’re at high risk, according to new research by the University of South Australia.
Machine learning, a form of artificial intelligence, can predict which women are at high risk of developing gestational diabetes and lead to earlier intervention, according to a new study published in the Endocrine Society’s Journal of Clinical Endocrinology & Metabolism.
Children born to mothers who had diabetes during pregnancy may age faster biologically and be at an increased risk for obesity and high blood pressure, according to Rutgers researchers.
The former American Association of Diabetes Educators is now the Association of Diabetes Care & Education Specialists (ADCES). The rebranding reflects the association’s shift from referencing the specialty title as “diabetes educator” to the more comprehensive “diabetes care and education specialist.” The new title more accurately signifies the range of expertise diabetes care and education specialists provide to people with diabetes, prediabetes and cardiometabolic conditions, the health care system, payers and providers.
Using machine learning to analyze data on nearly 600,000 pregnancies, researchers devised an algorithm that identified nine parameters – out of more than 2,000 analyzed – that can predict which women are at risk of gestational diabetes. The parameters can identify risk early in – even before – pregnancy, enabling early intervention.