Translating preclinical models to humans

Generalizing results from animal models to human patients is a critical biomedical challenge. This problem is a key cause of the large proportion of failures encountered in moving therapeutics from preclinical studies to clinical trials (1). Direct translation of observations in rodents or nonhuman...

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Main Authors: Brubaker, Douglas, Lauffenburger, Douglas A.
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2020
Online Access:https://hdl.handle.net/1721.1/125911
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author Brubaker, Douglas
Lauffenburger, Douglas A.
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Brubaker, Douglas
Lauffenburger, Douglas A.
author_sort Brubaker, Douglas
collection MIT
description Generalizing results from animal models to human patients is a critical biomedical challenge. This problem is a key cause of the large proportion of failures encountered in moving therapeutics from preclinical studies to clinical trials (1). Direct translation of observations in rodents or nonhuman primates (NHPs) to humans frequently disappoints, for reasons including discrepancies in complexity and regulation between species. Because the experiments required to understand disease biology to the degree required for ascertaining effective treatments cannot be performed in human subjects, translation from animals to humans is necessary—and needs to be improved. Systems biology and machine learning (ML) can be used to translate relationships across species. Instead of attempting to “humanize” animal experimental models, which is possible to only a limited extent, greater success may be obtained by humanizing computational models derived from animal experiments.
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spelling mit-1721.1/1259112022-10-03T10:02:17Z Translating preclinical models to humans Brubaker, Douglas Lauffenburger, Douglas A. Massachusetts Institute of Technology. Department of Biological Engineering Generalizing results from animal models to human patients is a critical biomedical challenge. This problem is a key cause of the large proportion of failures encountered in moving therapeutics from preclinical studies to clinical trials (1). Direct translation of observations in rodents or nonhuman primates (NHPs) to humans frequently disappoints, for reasons including discrepancies in complexity and regulation between species. Because the experiments required to understand disease biology to the degree required for ascertaining effective treatments cannot be performed in human subjects, translation from animals to humans is necessary—and needs to be improved. Systems biology and machine learning (ML) can be used to translate relationships across species. Instead of attempting to “humanize” animal experimental models, which is possible to only a limited extent, greater success may be obtained by humanizing computational models derived from animal experiments. 2020-06-22T15:01:40Z 2020-06-22T15:01:40Z 2020-02 2020-06-19T13:19:15Z Article http://purl.org/eprint/type/JournalArticle 0036-8075 1095-9203 https://hdl.handle.net/1721.1/125911 Brubaker, Douglas K. and Douglas A. Lauffenburger. "Translating preclinical models to humans." Science 367, 6479 (February 2020): 742-743 © 2020 The Authors en http://dx.doi.org/10.1126/science.aay8086 Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Association for the Advancement of Science (AAAS) Prof. Lauffenberger via Howard Silver
spellingShingle Brubaker, Douglas
Lauffenburger, Douglas A.
Translating preclinical models to humans
title Translating preclinical models to humans
title_full Translating preclinical models to humans
title_fullStr Translating preclinical models to humans
title_full_unstemmed Translating preclinical models to humans
title_short Translating preclinical models to humans
title_sort translating preclinical models to humans
url https://hdl.handle.net/1721.1/125911
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