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Generative AI for Personlisation

Generative AI for Personalisation

Generative AI is transforming personalised healthcare by generating missing or future medical data to enhance clinical decision-making and tailor treatment plans. By leveraging deep learning, it enables precision diagnostics, predictive modelling of patient outcomes, and the creation of synthetic datasets for research and development. This innovative approach supports more adaptive, efficient, and personalised healthcare.

Publications

  1. Li, Chenqi, et al. "AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 13. 2025. paper, code
  2. Ghosheh, Ghadeer O., Moritz Gögl, and Tingting Zhu. "A perspective on individualized treatment effects estimation from time-series health data." Journal of the American Medical Informatics Association (2025): ocae323. paper
  3. Ghosheh, Ghadeer O., Jin Li, and Tingting Zhu. "IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records." arXiv preprint arXiv:2401.04402 (2024). paper
  4. Ghosheh, Ghadeer O., Jin Li, and Tingting Zhu. "Understanding Missingness in Time-series Electronic Health Records for Individualized Representation." arXiv preprint arXiv:2402.15730 (2024). paper