A METHOD FOR PREDICTIVE TESTING OF AGENTS TO ASSESS TRIGGERING AND SUPPRESSING ADVERSE OUTCOMES AND/OR DISEASES

Abstract

The invention is a method for predictive testing of materials, which allows saving time in observation of adverse outcomes such as chronic inflammation, which is known to lead to development of most of the slowly evolving diseases such as cancer or autoimmune diseases. The present invention uses observation of evolution of in vitro models in order to predict outcomes based on early molecular events that are the first to occur, long before they are shown in tissues as long-term effects. These molecular events are analysed, measured and/or detected for up to 1 week and in silico time propagation is performed, in order to correlate the early events to the long-term effects leading a reliable prediction about safety/toxicity of materials. The in silico forecasting of observables in time from their initial values is made using a system of differential equations constructed from the interaction terms of the interaction matrix (formula (I)), where scenaria (formula (II)) are used to select the relevant observables to match the observables observed within each in vitro experiment.

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