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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. Vukosavljević, Katarina, et al. "CAMELOT++: Enhancing Patient Phenotype Discovery through Time-Series Clustering and Survival Analysis" WiML Workshop @ NeurIPS 2024. poster

  2. 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

  3. 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