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Leila Pirhaji Outlines the Medical Potential of AI-Analyzing Metabolites
Daniel Johnson — October 31, 2019 — Keynote Trends
References: revivemed.io & ted
Leila Pirhaji gave a keynote about the medical potential of using AI systems to analyze human metabolites. Pirhaji is the founder of ReviveMed, which is an AI platform that is able to analyze data related to human metabolites.
Pirhaji opens her keynote by stating that when the human genome was sequenced in 2003, people thought this would lead to new treatments for diseases. According to Pirhaji, this did not happen because genes, environment, and a person's lifestyle all affect the prevalence of a disease.
Leila Pirhaji moves on to state that metabolites could provide more information about a disease, this is because metabolites are involved in metabolism. Meaning that metabolites will contain information pertaining to genes, environment, and lifestyle.
Pirhaji states that she has created an AI platform that analyzes metabolites, and has since been developing algorithms to gain further insights into the interactions of metabolites and diseases.
Leila Pirhaji concludes her keynote by stating the medical potential that can arise from identifying how changes in metabolites create diseases.
Pirhaji opens her keynote by stating that when the human genome was sequenced in 2003, people thought this would lead to new treatments for diseases. According to Pirhaji, this did not happen because genes, environment, and a person's lifestyle all affect the prevalence of a disease.
Leila Pirhaji moves on to state that metabolites could provide more information about a disease, this is because metabolites are involved in metabolism. Meaning that metabolites will contain information pertaining to genes, environment, and lifestyle.
Pirhaji states that she has created an AI platform that analyzes metabolites, and has since been developing algorithms to gain further insights into the interactions of metabolites and diseases.
Leila Pirhaji concludes her keynote by stating the medical potential that can arise from identifying how changes in metabolites create diseases.
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