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Dive into the research topics where Data Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

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  • An AI-enabled tool for quantifying overlapping red blood cell sickling dynamics in microfluidic assays

    Kadivar, N., Li, G., Zheng, J., Dao, M., Karniadakis, G. E. & Xu, M., Jun 2 2026, In: Lab on a Chip. 26, 11, p. 3366-3380 15 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation

    Huang, Y., Nouranizadeh, A., Ahrends, C. & Xu, M., 2026, In: Proceedings of Machine Learning Research. 315, p. 3947-3970 24 p.

    Research output: Contribution to journalConference articlepeer-review

  • Convergence to Steady State in LLM-Generated Ontological Concepts

    Khatwani, N., Wang, L., Klein, S. T. & Geller, J., May 21 2026, Opening the Personal Gate between Technology and Health Care - Proceedings of MIE 2026. Hagglund, M., Lindskold, L., Lhotska, L., Marceglia, S., Parimbelli, E., Sacchi, L., Soda, P., Stoicu-Tivadar, L., Veltri, P., Vizza, P., Giacomini, M., Delgado, J., Arvanitis, T. N., Andrikopoulou, E., Benis, A., Balestra, G., Bellazzi, R., Gallos, P. G., Gatta, R., Giacobbe, D. R. & Giordano, N. (eds.). IOS Press BV, p. 2279-2283 5 p. (Studies in Health Technology and Informatics; vol. 336).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access