AI Algorithms Can Determine How Well Newborns Nurse, Study Shows

A modified pacifier and AI algorithms to analyze the data it produces could determine if newborns are learning the proper mechanics of nursing, a recent study shows. Specifically, the researchers from the University of California San Diego measured if babies are generating enough suckling strength to breastfeed and whether they are suckling in a regular pattern based on eight independent parameters.

Omics and AI May Help Predict Lung Disease Risk in Premature Babies

Article title: Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia Authors: Alvaro Moreira, Miriam Tovar, Alisha M. Smith, Grace C. Lee, Justin A. Meunier, Zoya Cheema, Axel Moreira, Caitlyn Winter, Shamimunisa B. Mustafa, Steven Seidner, Tina…

‘Breastfeeding Gap’ Exists Among Mexican-Origin Women Living in Texas

Mexican women born and educated in Mexico who now live in Texas breastfeed longer than those born and educated in the United States. That’s the finding from new research from the Texas Policy Evaluation Project (TxPEP) at The University of Texas at Austin, which points to a “breastfeeding gap” among some Mexican-origin women living in Texas.

Baylor University Medical Center in Dallas Earns State’s Highest Designation for Comprehensive Maternal and Neonatal Care

Baylor University Medical Center at Dallas, a part of Baylor Scott & White Health, is the first hospital in Dallas-Fort Worth designated as a Level IV maternal care center, the highest possible designation by the Texas Department of State Health Services.