Machine learning in Alzheimer’s disease

The early diagnosis of Alzheimer’s disease (AD) is essential to enable the administration of potentially disease-modifying treatments. In this video, Xinzhong Li, PhD, of Plymouth University, Plymouth, UK, discusses his group’s work using machine learning modalities in order to identify biomarkers that are able to discern controls from patients with AD; a study supported by BRACE. Dr Li hopes that with the advent of new participants, these machine learning processes will improve, and hopes we can implement deep learning techniques into diagnostics. This interview took place at the Alzheimer’s Research UK (ARUK) Conference 2018, held in London, UK.

Share this video