While many 21-year-olds celebrate their coming of age in bars and nightclubs, Andrew Solis is celebrating freedom by finally going home—equipped with a new heart and liver—after nearly eight months at Cedars-Sinai.
A new study from Keck Medicine of USC reveals that Black recipients of liver transplants have lower post-transplant survival rates than white or Hispanic patients
Two of the leading names in health care in the tri-state region, New Jersey–based Atlantic Health System and New York–based NYU Langone Health, are teaming up to give patients greater access to heart and liver transplants and the coordinated, high-quality care needed to stay healthy. The clinical affiliation will partner NYU Langone’s nationally recognized transplant program with the nationally ranked Atlantic Health System Heart Care program located at Morristown Medical Center’s Gagnon Cardiovascular Institute (Morristown, NJ) and the ground-breaking liver services at Overlook Medical Center (Summit, NJ).
The March issue of The American Journal of Gastroenterology features new clinical research involving sex and gender, including effects of GI and liver conditions on pregnancy, gender disparities in diet and nutrition, Barrett’s esophagus incidence in women with scleroderma, factors influencing whether women pursue advanced endoscopy careers, endoscopy-related musculoskeletal injuries, sex hormone association with increased prevalence of certain types of cancer, and more.
Data from a new study presented this week at The Liver Meeting Digital Experience® – held by the American Association for the Study of Liver Diseases – found that while neighborhood socioeconomic deprivation is associated with worse adverse long-term outcomes after liver transplant in children, improving center-specific practices can mitigate these effects for young at-risk patients.
Data from a new study presented this week at The Liver Meeting Digital Experience® – held by the American Association for the Study of Liver Diseases – found that using neural networks, a type of machine learning algorithm, is a more accurate model for predicting waitlist mortality in liver transplantation, outperforming the older model for end-stage liver disease (MELD) scoring. This advancement could lead to the development of more equitable organ allocation systems and even reduce liver transplant waitlist death rates for patients.