An Alternative to Structured Interviews
Gather Community Insight
Online health forums are a valuable source of clinical data, where patients provide first-hand information about their lived experience, their response to treatments, and their unmet needs. Excited by the vast amount of clinical data buried in these forums, we began developing an artificial intelligence system for mining this information in 2014. In 2019, with our technology reaching maturity, we launched Mebomine to make it available to the clinical research community and pharmaceutical industry, ensuring that patient voices are heard.
Developed from the ground up with online patient communities in mind, Mebomine’s unique data analytics methodology combines domain-specific natural language processing, machine learning and statistical analysis to find, interpret and link valuable clinical insights about thousands of conditions and treatments, supporting a wide variety of needs.
From trial design to post-market surveillance, Mebomine's technology gives you the edge.
Maryam is a data scientist at the Barts Cancer Institute. Her background is in Maths and Computer Science. Her research includes Machine Learning with applications in Bioinformatics and Health Informatics.
Conrad has over 20 years’ experience developing data analytics solutions for the life sciences. He is the chair of Bioinformatics at Queen Mary University of London and a fellow at the Alan Turing Institute.
Fabrizio is an expert in Machine Learning. He is a principal investigator in Computer Science at Queen Mary University of London and a fellow at the Alan Turing Institute.
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