Humans

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Shuo Xiao, Jonathan R. Coppeta, Hunter B. Rogers, et al. A microfluidic culture model of the human reproductive tract and 28-day menstrual cycle. Nature Communications. 2017;8:14584. doi:10.1038/ncomms14584
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Helena Kilpinen, Angela Goncalves, Andreas Leha, et al. Common genetic variation drives molecular heterogeneity in human iPSCs. Nature. 2017;546(7658):370-375. doi:10.1038/nature22403
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Melody Mills, Mary K. Estes. Physiologically relevant human tissue models for infectious diseases. Drug Discovery Today. 2016;21(9):1540-1552. doi:10.1016/j.drudis.2016.06.020
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Vijay Pal Singh, Kunal Pratap, Juhi Sinha, Koundinya Desiraju, Devika Bahal, Ritushree Kukreti. Critical evaluation of challenges and future use of animals in experimentation for biomedical research. International Journal of Immunopathology and Pharmacology. 2016;29(4):551-561. doi:10.1177/0394632016671728
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Hans Clevers. Modeling Development and Disease with Organoids. Cell. 2016;165(7):1586-1597. doi:10.1016/j.cell.2016.05.082
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Wallace MacNaughton. The human element: moving beyond animal models to study the neuronal regulation of intestinal electrolyte transport. The Journal of Physiology. 2016;594(2):259-260. doi:10.1113/JP271771
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Susan Bridgwood Green. Can animal data translate to innovations necessary for a new era of patient-centred and individualised healthcare? Bias in preclinical animal research. BMC Medical Ethics. 2015;16:53. doi:10.1186/s12910-015-0043-7
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Jarrod Bailey, Michelle Thew, Michael Balls. Predicting human drug toxicity and safety via animal tests: can any one species predict drug toxicity in any other, and do monkeys help? Alternatives to laboratory animals: ATLA. 2015;43(6):393-403. doi:10.1177/026119291504300607
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Matthew R. Nelson, Hannah Tipney, Jeffery L. Painter, et al. The support of human genetic evidence for approved drug indications. Nature Genetics. 2015;47(8):856-860. doi:10.1038/ng.3314
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James Galipeau, David Moher, Craig Campbell, et al. A systematic review highlights a knowledge gap regarding the effectiveness of health-related training programs in journalology. Journal of Clinical Epidemiology. 2015;68(3):257-265. doi:10.1016/j.jclinepi.2014.09.024
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