Head of kidney transplantation/Vice-chair Leiden Transplant Center
Dr. A.P.J. de Vries
Area(s) of expertise:
Internal Medicine, (Transplant) Nephrology
Internal Medicine, (Transplant) Nephrology
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Scientific research
My research focuses on improving long-term graft survival from immunological and non-immunological (cardiovascular and metabolic) causes through multiple lines of research.
• To research molecular matching strategies
• To developing and test new immunosuppressive strategies including novel drugs, off-label applications of existing medication, and tolerogenic cell therapy in phase 1-4 trials.
• To unravel the etiology of rejection through (spatial molecular) pathology and to discover novel biomarkers for better classification, prognosis, and treatment modalities of rejection.
• To develop and test new biomarkers for outpatient follow-up of alloimmunity and (incipient) rejection.
• To develop and test novel (translational) strategies against transplant complications such as post-transplant diabetes or viral complications.
• To developing personalized targets for immunosuppression based on existing “big transplant” data and prediction modelling/artificial intelligence.
• To develop and test of new healthcare delivery concepts including home monitoring and E-Health concepts.
• To research molecular matching strategies
• To developing and test new immunosuppressive strategies including novel drugs, off-label applications of existing medication, and tolerogenic cell therapy in phase 1-4 trials.
• To unravel the etiology of rejection through (spatial molecular) pathology and to discover novel biomarkers for better classification, prognosis, and treatment modalities of rejection.
• To develop and test new biomarkers for outpatient follow-up of alloimmunity and (incipient) rejection.
• To develop and test novel (translational) strategies against transplant complications such as post-transplant diabetes or viral complications.
• To developing personalized targets for immunosuppression based on existing “big transplant” data and prediction modelling/artificial intelligence.
• To develop and test of new healthcare delivery concepts including home monitoring and E-Health concepts.
