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null Angeliki Makri, MD

Junior Scientist, RI-MUHC , Glen site

Child Health and Human Development Program

Centre for Outcomes Research and Evaluation

 

Keywords


type 1 diabetes • precision medicine • machine learning • endotypes • disease heterogeneity

Research Focus


My research focuses on the use of machine learning (ML) to address crucial clinical questions in type 1 diabetes, from identifying distinct disease subgroups that will allow precise diagnosis to developing prediction models for diabetes complications that will enable targeted prevention strategies.

Selected Publications


Click on Pubmed to see my current publications list

  • Makri A, Akshintala S, Derse-Anthony C, Del Rivero J, Widemann B,Stratakis CA, Glod J, Lodish M. Pheochromocytoma in children and adolescents with multiple endocrine neoplasia type 2B. J Clin Endocrinol Metab. 2019 Jan 1;104(1):7-12.

  • Li Q, Makri A, Lu Y, Marchand L, Grabs R, Rousseau M, Ounissi-Benkalha H, Pelletier J, Robert F, Harmsen E, Hudson TJ, Pastinen T, Polychronakos C, Qu HQ. Genome-wide search for exonic variants affecting translational efficiency. Nature Communications. 2013;4:2260.

  • Makri A, Cheung A, Sinaii N, Remaley AT, Sampson M, Keil M,Belyavskaya E, Lyssikatos C, De La Luz Sierra M, Stratakis CA, Lodish M. Lipoprotein particles in patients with pediatric Cushing disease and possible cardiovascular risks. Pediatr Res. 2019 Sep;86(3):375-381.

  • Makri A, Akshintala S, Derse-Anthony C, Widemann B, Stratakis CA, Glod J, Lodish M. Multiple Endocrine Neoplasia Type 2B Presents Early in Childhood but Often Is Undiagnosed for Years. J of Pediatrics 2018 Dec;203:447-449.

  • Makri A, Boyce A, Stratakis C, Lodish M. Irreversible primary amenorrhea secondary to uterine damage and premature ovarian failure in Ewing’s sarcoma. J Pediatr Adolesc Gynecol. 2018 Dec;31(6):648-650.