Could AI and data science help us find a cure for Alzheimer’s with Prof. Alejo Nevado-Holgado

Episode notes

An estimated 55 million people worldwide are living with dementia, of which Alzheimer’s is the most common form. This number continues to rise as global populations age. Despite the scale of the problem and large amounts of funding, no one has been able to find a cure. Could it be that data science, rather than medicine, holds the answers to tackling this disease? In this episode of Tech Tomorrow , David Elliman speaks with Alejo Nevado-Holgado, Associate Professor of Psychiatry at the University of Oxford and member of the Big Data Institute. He leads AI research within the Computational and Molecular Neuroscience Laboratory, an interdisciplinary team spanning AI, biochemistry, and bioinformatics. The conversation explores how advanced computational methods are using vast biological and clinical datasets, including genomics, transcriptomics, proteomics, stem cell imaging, brain scans, and electronic health records. This integrated approach aims to uncover disease mechanisms, identify new drug targets, and advance more personalized treatments, all supported by high-performance computing. A key challenge in Alzheimer’s research is the difficulty of accessing and studying the brain.

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