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Home » Future of Healthcare » Predictive medicine: AI’s impact on disease progression and treatment

Professor John D. Kelleher

Director of the SFI ADAPT Centre and Chair of Artificial Intelligence at Trinity College Dublin

AI-driven research with industry and government funding is revolutionising personalised medicine, stroke prevention and patient outcomes.

In today’s healthcare landscape, the push towards personalised medicine is more than just a trend; it’s a paradigm shift driven by the fusion of groundbreaking research and technological advancements.

Researchers at ADAPT, the SFI research centre for AI-Driven Digital Content Technology, are harnessing the power of sophisticated algorithms and machine learning models. They aim to tailor medical treatments to the unique patient needs by leveraging the vast potential of AI and big data. A cornerstone is the development of innovative platforms specifically designed for the ongoing analysis of disease risk factors. 

Dynamic stroke prevention innovation

Tackling challenges of an ageing demographic, one major research focus is on stroke prevention. Stroke will become the leading cause of death and dementia in the developed world. Kings College London reports a predicted 59% increase in stroke numbers in Ireland. Utilising real-time data, ADAPT’s innovations offer dynamic risk assessments, empowering healthcare providers to make informed decisions and customise treatment plans like never before. 

Kings College London reports a predicted 59% increase in stroke numbers in Ireland.

Interdisciplinary collaboration

This research is not just about technological prowess; it’s rooted in a deep-seated commitment to interdisciplinary collaboration. Bringing together experts from diverse fields, ADAPT fosters an environment where innovation thrives, speeding up research into real-world applications.

This collaborative ethos ensures that advancements are made with ethical considerations at the forefront, particularly in terms of data-sharing, patient privacy and consent while researchers work closely with patient-led organisations such as IPPOSI, industry partners and government agencies.

AI improving patient outcomes

AI’s role in this transformation cannot be overstated. Improving how patient data is collected, analysed and applied addresses critical challenges in data harmonisation, integration and governance. The result is a more refined approach to understanding diseases and developing treatments.

Professor John D. Kelleher, Director of ADAPT at Trinity, emphasises the impact of the work: “The identification of patterns and biomarkers is crucial for understanding complex diseases. Our research not only broadens the scope of data available but also accelerates the path to new treatments and enhances our predictive capabilities regarding disease progression, improving patient outcomes.”

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