首页|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)

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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.”

Cluj NapocaRomaniaEuropeAlgorithmsBiomedicineCyborgsDiabetes MellitusDrugs and TherapiesEmerging Technol ogiesEndocrine System Diseases and ConditionsEndocrinologyGlucose Metaboli sm DisordersHealth and MedicineImmunosuppressive AgentsKidneyKidney Tran splantsMachine LearningMacrolidesMetabolic Diseases and ConditionsNephro logyNutritional and Metabolic Diseases and ConditionsOrgan TransplantsPhar maceuticalsPost-Transplant DiabetesRenal AllograftRenal TransplantSurger yTacrolimusTacrolimus TherapyTransplant MedicineTransplantation

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN：
年,卷(期)：2024.(Nov.19)