1.
Katerina Trajanoska, Claude Bhérer, Daniel Taliun, Sirui Zhou, J. Brent Richards, Vincent Mooser. From target discovery to clinical drug development with human genetics. Nature. 2023;620(7975):737-745. doi:10.1038/s41586-023-06388-8
Humans
1.
Stephen Burgess, Amy M. Mason, Andrew J. Grant, et al. Using genetic association data to guide drug discovery and development: Review of methods and applications. American Journal of Human Genetics. 2023;110(2):195-214. doi:10.1016/j.ajhg.2022.12.017
1.
Omar Mourad, Ryan Yee, Mengyuan Li, Sara S. Nunes. Modeling Heart Diseases on a Chip: Advantages and Future Opportunities. Circulation Research. 2023;132(4):483-497. doi:10.1161/CIRCRESAHA.122.321670
1.
Pauric Bannigan, Zeqing Bao, Riley J. Hickman, et al. Machine learning models to accelerate the design of polymeric long-acting injectables. Nature Communications. 2023;14(1):35. doi:10.1038/s41467-022-35343-w
1.
Keren J. Carss, Aimee M. Deaton, Alberto Del Rio-Espinola, et al. Using human genetics to improve safety assessment of therapeutics. Nature Reviews. Drug Discovery. 2023;22(2):145-162. doi:10.1038/s41573-022-00561-w
1.
Summer R. Fair, Wesley Schwind, Dominic L. Julian, et al. Cerebral organoids containing an AUTS2 missense variant model microcephaly. Brain: A Journal of Neurology. 2023;146(1):387-404. doi:10.1093/brain/awac244
1.
Thomas Hartung. ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science. ALTEX. 2023;40(4):559-570. doi:10.14573/altex.2309191
1.
Judy Strickland, Jaleh Abedini, David G. Allen, et al. A database of human predictive patch test data for skin sensitization. Archives of Toxicology. 2023;97(11):2825-2837. doi:10.1007/s00204-023-03530-3
1.
Catharine E. Krebs, Celean Camp, Helder Constantino, et al. Proceedings of a workshop to address animal methods bias in scientific publishing. Alternatives to Animal Experimentation. 2023;40(4):677-688. doi:10.14573/altex.2210211
1.
Naira Baregamian, Konjeti R. Sekhar, Evan S. Krystofiak, et al. Engineering functional 3-dimensional patient-derived endocrine organoids for broad multiplatform applications. Surgery. 2023;173(1):67-75. doi:10.1016/j.surg.2022.09.027