Disclosures: Ahmad Anouti: Nothing to Disclose, Hamza Dahshi: Nothing to Disclose, Thomas Cotter: Nothing to Disclose, Christine Hwang: Nothing to Disclose, Timucin Taner: Nothing to Disclose, Julie Heimbach: Nothing to Disclose, Madhukar Patel: Nothing to Disclose, William Lee: Nothing to Disclose, Sara Hassan: Nothing to Disclose 1338 PREDICTING LIVER GRAFT DISCARD CRITERIA: A MACHINE LEARNING APPROACH TO KEY DONOR CHARACTERISTICS Ahmad Anouti 1 Hamza Dahshi 2 Thomas Cotter 1 Samar Ibrahim 3 William Lee 1 Timucin Taner 3 Julie Heimbach 3 Madhukar Patel 1 Sara Hassan 3 , 1 UT Southwestern Medical Center, 2 Case Western School of Medicine, 3 Mayo Clinic Rochester Background: One of the primary challenges in liver transplantation is the shortage of available donor organs
Retrieved from Shibayama, M., Reyes-gordillo, K., Vergara, P., Moreno, M
In this study, we aimed to use umbilical cord blood plasma, metabolomics, and a transcriptomic hepatocyte reporter cell assay to examine how the intrauterine environment may impact fetuses of mothers with obesity compared to mothers with normal weight
Lauron S, Plasse C, Vaysset M et al (2023a) Prevalence and Odds of Depressive and anxiety disorders and symptoms in children and adults with alopecia areata: a systematic review and meta-analysis
doi: 10.1016/s0031-9422(03)00441-2
We then proceeded to identify three categories of interactions: (i) GxE (Gene x Environment) interaction, wherein a single SLC25 gene KO differentially affects cellular fitness under certain metabolic states