`I’m interested in exploring how AI/ML can be applied to space biology research, particularly for analyzing biological data from spaceflight experiments and identifying patterns that may be difficult to detect manually.
I’d like to hear from other AWG members about existing approaches, datasets, tools, or potential research directions in this area.`
Hi Khushhaal,
There are many examples of @AIMLawg approaches in the enabled google scholar list: https://scholar.google.com/citations?hl=en&user=8T1QuYEAAAAJ
Few which come to mind:
Casaletto, J.A., Scott, R.T., Rathod, A. et al. Machine learning ensemble reveals distinct molecular pathways of retinal damage in spaceflown mice. npj Microgravity (2026). https://doi.org/10.1038/s41526-026-00625-w
Costes, S. V., Busto, S. G., Scott, R. T., Casaletto, J. A., de Fourtou, G. B., Evarts, B. M., … & Madrigal, P. (2026). Building AI-Ready Data Systems for Space Life Sciences, Aerospace Medicine, and Deep Space Exploration. arXiv preprint arXiv:2606.28856. https://doi.org/10.48550/arXiv.2606.28856
Vaishnavi Nagesh, Lauren Sanders, Sylvain V. Costes, Pinar Avci, Ayse Yigit, Amey Agarwal, Alireza Hayati, Alavia Batool, Fathi Karouia, Atul M. Chander, Caleb M. Schmidt, Jian Gong. bioRxiv 2026.06.09.730965; doi: https://doi.org/10.64898/2026.06.09.730965
Frederico C. Kiffer, Ryan T. Scott, Marlu T. Martens, Arthur Mayo III, Yipeng Li, Mariela Mendoza, Shambhabi Gautam, Julian Huang, Meera Bathwal, Svanik Jaikumar, Amishi Mahajan, Lauren M. Sanders, Amelia J. Eisch, Talmo D. Pereira. bioRxiv 2026.04.30.721950; doi: https://doi.org/10.64898/2026.04.30.721950
These two may also be of interest for an overview:
Biomonitoring and precision health in deep space supported by artificial intelligence. Scott, Sanders et al., 2023, Nature Machine Intelligence
https://rdcu.be/c8jSO
Biological research and self-driving labs in deep space supported by artificial intelligence. Sanders, Scott et al. 2023, Nature Machine Intelligence. https://rdcu.be/c8jSS