Prof. Eran Segal

We are a multi-disciplinary lab developing personalized medicine approached by applying AI machine learning tools to the Human Phenotype Project, a large-scale  (>20,000 participants) deep-phenotype prospective longitudinal cohort and biobank that we established. Our goal is to identify novel molecular markers with diagnostic, prognostic and therapeutic value, and at develop prediction models for disease onset and progression. 

Our deep profiling includes medical history, lifestyle and nutritional habits, vital signs, anthropometrics, blood tests, continuous glucose and sleep monitoring, and molecular profiling of the transcriptome, genetics, gut and oral microbiome, metabolome and immune system. Our analyses of this data provide novel insights into potential drivers of obesity, diabetes, and heart disease, and identify hundreds of novel markers at the microbiome, metabolite, and immune system level. 

Overall, our predictive models can be translated into personalized disease prevention and treatment plans, and to the development of new therapeutic modalities based on metabolites and the microbiome.