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Next-Generation Preventative Healthcare: Trajectory Modelling for Improved Personalised Health Management [1]

["King'S College London"]

Date: 2026-02 

The healthcare system faces growing challenges in delivering timely, equitable, and precise care, contributing to delayed diagnoses, avoidable complications, and poorer long-term outcomes. Machine learning models are now able to leverage longitudinal imaging, clinical, genetic, and demographic data to model individual health trajectories, detect early disease, and characterise progression for diverse populations.

In this seminar, Liane will present recent advances in AI that enable personalised temporal frameworks for preventive health, as well as previous research demonstrating the feasibility, robustness, and clinical relevance of these approaches. These frameworks provide insight into multi-organ ageing, flag emerging unhealthy patterns, and highlight windows of opportunity for intervention. By forecasting individual health pathways, they can optimise screening programmes and guide targeted preventive strategies, encouraging healthier lifestyles and improving quality of life, while also informing policy and resource planning. Ultimately, these approaches aim to relieve pressure on healthcare services and support optimal functioning across organ systems.

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This event is part of the King’s Institute for Artificial Intelligence’s AI Frontiers series.

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[1] Url: https://theconversation.com/uk/events/next-generation-preventative-healthcare-trajectory-modelling-for-improved-personalised-health-management-15434

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