The first step in precision-guided patient care is determining which organisms detected in a lab result are most likely to be pathogenic, and therefore the highest value targets for treatment.

Arkstone's PathFinder™ System that uses proprietary algorithms, supervised machine learning and artificial intelligence to identify which organisms are the most likely cause of infection and the focus of the OneChoice treatment plans. The system analyzes the source of the sample and differentiates between organisms more likely to be pathogenic and the cause of infection, as opposed to the organisms commonly associated with normal human body flora, or present in the environment and a likely contaminate. This determination is based on the latest academic literature.

While a lab result may contain many detected organisms and resistance genes, their relevance can be different from sample to sample. For example, the same organism may be pathogenic if detected in a respiratory swab, but not in a urine sample. Likewise, resistance genes may only be relevant to certain organisms, and not to others. So, while they may be detected, they may not be relevant to the likely pathogens that need treatment, and therefore may not actually preclude certain treatment options.

In other cases, a gene detected may be expressed by multiple microbes considered pathogenic in that sample. In those scenarios, OneChoice will consider the possibility that any one of those organisms may be resistance and will avoid recommending antibiotics that could possibly lead to drug failure.