Pirhaji opens her keynote by stating that when the human genome was sequenced in 2003, people thought it would lead to new treatments for diseases. According to Pirhaji, this did not happen because genes, environment and a person’s lifestyle all influence the prevalence of a disease.
Leila Pirhaji further states that metabolites can provide more information about a disease because metabolites are involved in metabolism. This means that metabolites contain information related to genes, environment and lifestyle.
Pirhaji says she created an AI platform that analyzes metabolites, and has since been developing algorithms to better understand the interactions of metabolites and diseases.
Leila Pirhaji concludes her keynote by highlighting the medical potential that could arise from identifying how changes in metabolites cause disease.
