Realtime Oncology
Treatment Calculator™

For Physicians

A knowledge engine to support every oncologist's daily work

Rule-based artificial intelligence is the next logical step in precision oncology to translate the results of molecular profiling, functional annotations and knowledge bases into clinical decisions.

AEL stands for Aggregated Evidence level. It is the output of the Realtime Oncology algorithm and represents a scoring system to aggregate and rank molecular evidence in precision oncology. AEL represents the number, scientific impact and clinical relevance of evidence relations in the system, connecting tumor types, molecular alterations, targets and compounds. Individual evidence relation scores are normalized and weighted according to the degree of similarity of the parameters to the parameters of the given patient case.

AEL’s can be easily calculated even for Compounds given the patient case. Compound AELs are obtained by aggregating all relevant associations (and AELs) between the specific compound, tumor type, drivers and targets.
Using AELs we can order molecular alterations, targets and compounds in an objective, reproducible way. Moreover, the algorithm allows us to provide compound recommendations even in cases of low-level or conflicting evidence or with multiple parallel driver alterations.

See the Aggregated Evidence Level in action