Artificial intelligence for biomarker discovery in Alzheimer’s disease and dementia

Laura M. Winchester, Eric Harshfield, Liu Shi, AmanPreet Badhwar, Ahmad Al Khleifat, Natasha Clarke, Amir Dehsarvi, Imre Lengyel, Ilianna Lourida, Christopher R. Madan, Sarah Marzi, Petroula Proitsi, Anto Praveen Rajkumar Rajamani, Timothy Rittman, Edina Silajdzic, Stefano Tamburin, Janice M. Ranson, David J. Llewellyn

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With the increase in large multimodal cohorts and high-throughput technologies, the potential for discovering novel biomarkers is no longer limited by data set size. Artificial intelligence (AI) and machine learning approaches have been developed to detect novel biomarkers and interactions in complex data sets. We discuss exemplar uses and evalu- ate current applications and limitations of AI to discover novel biomarkers. Remaining challenges include a lack of diversity in the data sets available, the sheer complex- ity of investigating interactions, the invasiveness and cost of some biomarkers, and poor reporting in some studies. Overcoming these challenges will involve collecting
Original languageEnglish
JournalAlzheimer's Dementia: The Journal of the Alzheimer's Association
Publication statusPublished - 1 Sept 2023


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