Myalgic Encephalomyelitis Research AI

AI & ML interests

• Creation of a Comprehensive Data Bank: Establish a clinical, genetic, imaging, biological, and patient narrative database focused on individuals with moderate to very severe Myalgic Encephalomyelitis (ME) with post-exertional malaise (PEM). This resource will serve as a foundational tool for in-depth research and analysis. • Clinical Data Analysis on a Large-Scale Cohort: Perform detailed analyses on datasets from 10,000 to over a million ME patients with moderate to severe cases and PEM. This includes leveraging clinical, biological, imaging, and genetic databases to enhance our understanding of the disease, identify distinct patient subgroups, and pinpoint potential therapeutic targets. • Treatment Discovery and Optimization: Use machine learning models to identify potential molecules or therapies. This approach focuses on optimizing existing compounds to reduce toxic metabolites and develop formulations that remain undetected by the immune system, increasing efficacy and minimizing adverse reactions.