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Predictive Toxicology: Organ-Chips Demonstrate Superior Performance to Animal Models and Spheroids

January 6, 2022
11:00 am — 12:30 pm
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Synopsis

Failure in late stages of the drug development pipeline is one of the major challenges the pharmaceutical industry faces today. Human organ-on-a-chip (Organ-Chip) technology has the potential to disrupt preclinical drug discovery, as it has been shown to recapitulate organ-level pathophysiology and clinical responses. Additionally, industrial guidelines have been published that describe the criteria for qualifying preclinical models for a particular use application; however, systematic and quantitative evaluation of Organ-Chips’ predictive value has not been conducted to date. To explore how this challenge might be approached, 780 human Liver-Chips were analyzed to determine their ability to predict drug-induced liver injury caused by small molecules. Across a blinded set of 27 known hepatotoxic and non-toxic drugs, the Liver-Chip  demonstrated a sensitivity of 87% and a specificity of 100%. A computational economic value analysis suggests that, with this performance, the Liver-Chip could generate $3 billion per year to small-molecule drug development by driving an increase in research and development productivity. 

In this webinar, we discussed: 

    • Why preclinical models with greater predictive validity will improve clinical success and productivity
    • How the Emulate Liver-Chip performed against the IQ MPS guidelines
    • How the Emulate Liver-Chip compared to animal models and hepatic spheroids
    • What the economic impact of the Liver-Chip in routine use of small-molecule liver toxicity could be
    • Where the Emulate Liver-Chip can be implemented into the drug development process

A preprint of this study is currently available on BioRXiv: LE. 2022Qualifying a human Liver-Chip for predictive toxicology: Performance assessment and economic implicationsbioRxivdoihttps://doi.org/10.1101/2021.12.14.472674

 

Speaker Spotlight

Jack Scannell, PhD

Managing Director, JW Scannell Analytics Ltd, Author of Eroom’s Law

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Lorna Ewart, PhD

EVP of Science at Emulate

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Daniel Levner, PhD

Co-Founder, Board Member, CTO at Emulate

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