Could AI Help Personalize Stem Cell Therapy for Lupus?

Researchers are exploring how artificial intelligence could help improve mesenchymal stem cell (MSC) therapies for systemic lupus erythematosus by making treatments more consistent and personalized.

MSC therapy has shown promise in lupus because these cells can help calm immune overactivity while also supporting tissue repair. However, results across studies have been mixed. Differences in cell sources, culture conditions, dosing strategies, patient immune profiles, and concurrent medications all influence how well MSC therapy works, making outcomes difficult to predict.

This new review outlines how AI and machine learning tools could help address these challenges by analyzing large and complex datasets.

Potential applications include predicting how stem cells will behave under different culture or priming conditions, identifying molecular features linked to stronger immunomodulatory effects, and tailoring dosing strategies to individual patients. AI-based approaches may also help optimize how stem cell therapies are combined with existing lupus treatments.

While these strategies are still largely at the research and development stage, the authors argue that AI-guided personalization could move stem cell therapy away from a one-size-fits-all approach. For a disease as biologically diverse as lupus, this type of precision could be key to improving reliability, safety, and long-term effectiveness.

Citation

Rajeev Kumar, S., Kai He, K., Lokanathan, Y., Gaurav, A., Yusoff, K., Macedo, M. F., & Bhassu, S. (2025). How artificial intelligence can enable personalized mesenchymal stem cell-based therapeutic strategies in systemic lupus erythematosus. Frontiers in immunology, 16, 1654117. https://doi.org/10.3389/fimmu.2025.1654117