
Dimitar K. Gavrilov
Physician Scientist · Inborn errors of metabolism
Mayo Clinic College of Medicine and ScienceAbout
Dimitar K. Gavrilov, M.D., Ph.D. is a Medical Geneticist and Internist at Mayo Clinic in Rochester, Minnesota. He serves in the Department of Laboratory Medicine and Pathology within the Mayo Clinic College of Medicine and Science, with additional affiliations in Clinical Genomics and Pediatrics. His clinical focus centers on metabolic disorders, particularly inborn errors of metabolism.
Dr. Gavrilov's research interests span inborn errors of metabolism, genotype-phenotype correlations, early diagnosis, clinical presentation, and treatment of metabolic conditions. His work primarily focuses on improving newborn screening methods, understanding lysosomal storage disorders, and developing better diagnostic approaches for rare metabolic conditions. He has made significant contributions to the understanding of biomarkers for disorders like Krabbe disease, congenital disorders of glycosylation, and organic acidemias.
His recent publications (2020-2024) demonstrate a strong focus on refining newborn screening methodologies, particularly through the development and implementation of second-tier testing to reduce false positives. His work frequently addresses lysosomal storage disorders, organic acidemias, and congenital disorders of glycosylation, with emphasis on improving diagnostic accuracy and understanding disease mechanisms through biomarker analysis.
Scientific Awards:
- 1992 Travel Award from European Society of Human Genetics
- 1991 Travel Award from European Society of Human Genetics
Dr. Gavrilov maintains active professional memberships in numerous organizations including the American Medical Association, Society for the Study of Inborn Errors of Metabolism, American Society of Human Genetics, and Society for Inherited Metabolic Disorders. His work contributes significantly to the advancement of diagnostic methodologies in metabolic genetics and supports clinical practice through evidence-based research.
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