TY - JOUR
KW - Cell biology
KW - Drug Discovery
AU - Lorna Ewart
AU - Athanasia Apostolou
AU - Skyler A. Briggs
AU - Christopher V. Carman
AU - Jake T. Chaff
AU - Anthony R. Heng
AU - Sushma Jadalannagari
AU - Jeshina Janardhanan
AU - Kyung-Jin Jang
AU - Sannidhi R. Joshipura
AU - Mahika M. Kadam
AU - Marianne Kanellias
AU - Ville J. Kujala
AU - Gauri Kulkarni
AU - Christopher Y. Le
AU - Carolina Lucchesi
AU - Dimitris V. Manatakis
AU - Kairav K. Maniar
AU - Meaghan E. Quinn
AU - Joseph S. Ravan
AU - Ann Catherine Rizos
AU - John F. K. Sauld
AU - Josiah D. Sliz
AU - William Tien-Street
AU - Dennis Ramos Trinidad
AU - James Velez
AU - Max Wendell
AU - Onyi Irrechukwu
AU - Prathap Kumar Mahalingaiah
AU - Donald E. Ingber
AU - Jack W. Scannell
AU - Daniel Levner
AB - Conventional preclinical models often miss drug toxicities, meaning the harm these drugs pose to humans is only realized in clinical trials or when they make it to market. This has caused the pharmaceutical industry to waste considerable time and resources developing drugs destined to fail. Organ-on-a-Chip technology has the potential improve success in drug development pipelines, as it can recapitulate organ-level pathophysiology and clinical responses; however, systematic and quantitative evaluations of Organ-Chips’ predictive value have not yet been reported.
BT - Communications Medicine
DA - 2022-12-06
DO - 10.1038/s43856-022-00209-1
LA - en
N2 - Conventional preclinical models often miss drug toxicities, meaning the harm these drugs pose to humans is only realized in clinical trials or when they make it to market. This has caused the pharmaceutical industry to waste considerable time and resources developing drugs destined to fail. Organ-on-a-Chip technology has the potential improve success in drug development pipelines, as it can recapitulate organ-level pathophysiology and clinical responses; however, systematic and quantitative evaluations of Organ-Chips’ predictive value have not yet been reported.
PY - 2022
EP - 154
T2 - Communications Medicine
TI - Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology
UR - https://www.nature.com/articles/s43856-022-00209-1
VL - 2
Y2 - 2022-12-07
SN - 2730-664X
ER -