Data on Post-Transplant Diabetes Reported by Tudor Moisoiu andColleagues (The u se of metabolomics and machine learning algorithms to predict post-transplant di abetes mellitus in renal transplant patients on Tacrolimus therapy)
Data on Post-Transplant Diabetes Reported by Tudor Moisoiu andColleagues (The u se of metabolomics and machine learning algorithms to predict post-transplant di abetes mellitus in renal transplant patients on Tacrolimus therapy)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Transplant Medicine - Post-Transp lant Diabetes is the subject of a report.According to news originating from Clu j Napoca, Romania, by NewsRx correspondents, research stated,“Tacrolimus (TAC) has significantly improved kidney graft survival following transplantation, thou gh itis associated with adverse side effects. The most prevalent complication r esulting from excessive TACexposure is the onset of de novo diabetes mellitus ( DM), a condition that can negatively impact bothrenal graft function and patien t outcomes.”
Key words
Cluj Napoca/Romania/Europe/Algorithms/Biomedicine/Cyborgs/Diabetes Mellitus/Drugs and Therapies/Emerging Technol ogies/Endocrine System Diseases and Conditions/Endocrinology/Glucose Metaboli sm Disorders/Health and Medicine/Immunosuppressive Agents/Kidney/Kidney Tran splants/Machine Learning/Macrolides/Metabolic Diseases and Conditions/Nephro logy/Nutritional and Metabolic Diseases and Conditions/Organ Transplants/Phar maceuticals/Post-Transplant Diabetes/Renal Allograft/Renal Transplant/Surger y/Tacrolimus/Tacrolimus Therapy/Transplant Medicine/Transplantation
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