Abstract: The present disclosure relates to systems and methods for bioinformatics and data processing. In particular, in a first aspect, the present disclosure relates to methods and systems for generating a personalized treatment guideline for a patient and for selecting a treatment for a patient. In another aspect, the present disclosure relates to methods and systems for selecting patients for a clinical trial of a treatment. The invention resolves cases in which patients have more than one “actionable” aberration by combining the patient-specific molecular information and the treatment-specific molecular information further with a clinico-molecular disease model, specifically a scoring of genes and/or proteins that represents several aspects of their involvement into the disease. In this way, treatments and patients can be prioritized that are most likely to impact or impacted by the disease mechanism, respectively.

Abstract: The present disclosure relates to systems and methods for bioinformatics and data processing. In particular, in a first aspect, the present disclosure relates to methods and systems for generating a personalized treatment guideline for a patient and for selecting a treatment for a patient. In another aspect, the present disclosure relates to methods and systems for selecting patients for a clinical trial of a treatment. The invention resolves cases in which patients have more than one “actionable” aberration by combining the patient-specific molecular information and the treatment-specific molecular information further with a clinico-molecular disease model, specifically a scoring of genes and/or proteins that represents several aspects of their involvement into the disease. In this way, treatments and patients can be prioritized that are most likely to impact or impacted by the disease mechanism, respectively.

Abstract: Systems and methods are described herein for disease knowledge modeling and clinical treatment decision support. Disease or indication information, including identification of biomolecular entities associated with the indication may be culled through data mining to create a knowledge model of the indication. In some embodiments, the knowledge model may comprise a network of associations between molecular entities, including drug targets and biomarkers, genes, pathways. The model is used for prioritizing treatment decisions, for treatments comprising one or more medications associated with one or more molecular entities in the model. The priority of a suggested treatment depends on at least one property of one or more medications of the suggested treatment.