Achieve the Impossible

Drug effectiveness prediction software

Novel drug’s allergy, non-response, and side effects prediction based on ML algorithms.

Client

Pharmaceutical company specializing in oncology, gastroenterology, and neuroscience drugs development.

Objective

Determine the probability of negative response to components of several drugs developed to treat lung cancer, epilepsy and measles.

Solution

Our team collected data samples from multiple sources including company R&D department, observational studies, EHRs, hospitals and public databases. We then cleaned and labeled the data for effective analysis. Using various Machine Learning algorithms, techniques and frameworks, our data scientists built a model that was able to predict drug effectiveness across a range of parameters. On top of that, the solution can suggest alternative clinical trial approaches in case of poor treatment outcomes.

Result

Our AI-powered software increased the treatment efficiency of several widely spread diseases by decreasing the side effects risk.

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