Identification of key predictive biomedical and laboratory markers of ME-CFS through the application of advanced statistical pattern recognition techniques to the comparison of ME-CFS patients and a control patient cohort (2010 - 2013)
Replacement of Animal Models for Human Viral Disease Studies through a Combined Data-Mining and Molecular Biology Approach Using Existing Routine Pathology Data and Samples: A Hepatitis B Virus and Hepatitis C Virus Analysis (2009 - 2010)
Novel insights into the mechanisms of how viruses cause arthritis/arthralgia (2008 - 2010)
Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining (2013)
Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data. (2013)
Novel technologies and an overall strategy to allow hazard assessment and risk prediction of chemicals, cosmetics, and drugs with animal-free methods. (2012)
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