In Silico

Thomas Hartung, Thomas Luechtefeld, Alexandra Maertens. Chapter 9 - The role of artificial intelligence in overcoming animal testing. In: Catharine E. Krebs, Gail A. Van Norman, eds. Moving Toward Nonanimal Approaches in Medical Research and Testing. Academic Press; 2027:143-157. https://www.sciencedirect.com/science/article/pii/B9780443265143000072.

Xi Chen, Ting Li, Weida Tong, Minjun Chen. Chapter 7 - The application of generative adversarial networks (GANs) as new approach methods (NAMs) toward nonanimal testing. In: Catharine E. Krebs, Gail A. Van Norman, eds. Moving Toward Nonanimal Approaches in Medical Research and Testing. Academic Press; 2027:105-119. https://www.sciencedirect.com/science/article/pii/B9780443265143000199.

Davide Ortolan, Pushkar Sathe, Andrei Volkov, et al. AI driven 3D subcellular RPE map discovers cell state transitions in establishment of apical-basal polarity. npj Artificial Intelligence. 2026;2(1):20. doi:10.1038/s44387-026-00074-6

Yinjun Jia, Bowen Gao, Jiaxin Tan, et al. Deep contrastive learning enables genome-wide virtual screening. Science. 2026;391(6781):eads9530. doi:10.1126/science.ads9530

Laura Lotfi, T. William O’Neill, Angela Wilcox, Steven Bulera. Virtual control groups in nonclinical research: A Re-analysis of 20 studies using virtual control group data. Regulatory Toxicology and Pharmacology. 2026;168:106077. doi:10.1016/j.yrtph.2026.106077

Vishwanatha M. Rao, Serena Zhang, Brian S. Plosky, et al. Generalist biological artificial intelligence in modeling the language of life. Nature Biotechnology. 2026:1-16. doi:10.1038/s41587-026-03064-w

Gabriel E. Hoffman, Panos Roussos. Fast, flexible analysis of differences in cellular composition with crumblr. Nature Communications. 2026;17(1):9598. doi:10.1038/s41467-026-75681-7

Aram Aslanyan, Soumya Mukherjee, Eleanor M. Moncur, et al. Spatiotemporal characterization of Alzheimer disease pathology in living human brain tissue. Nature Communications. 2026;17(1):9878. doi:10.1038/s41467-026-76494-4

Gabriel E. Hoffman, Donghoon Lee, Jaroslav Bendl, et al. Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet. Nature Communications. 2026;17(1):9597. doi:10.1038/s41467-026-75680-8

Biological AI models: new paradigms to leverage the languages of life - Joint Research Centre. https://joint-research-centre.ec.europa.eu/jrc-news-and-updates/biological-ai-models-new-paradigms-leverage-languages-life-2026-08-24_en. Published 2026.