Abstract: In an aspect, a method includes obtaining patient data for a patient, the patient data including one or more molecular biomarkers specific to the patient, standardizing and curating the patient data, classifying the standardized and curated patient data including classifying the one or more molecular biomarkers by one or more of its functional effects, using the one or more functional effects for the one or more molecular biomarkers to identify a combination of available therapeutic options by targeting biomarkers with relevant functional effects based on the patient data, applying a learning method to optimize results for presentation to a user, and presenting optimized results to the user.

Abstract: In an aspect, a method includes obtaining patient data for a patient, the patient data including one or more molecular biomarkers specific to the patient, standardizing and curating the patient data, classifying the standardized and curated patient data including classifying the one or more molecular biomarkers by one or more of its functional effects, using the one or more functional effects for the one or more molecular biomarkers to identify a combination of available therapeutic options by targeting biomarkers with relevant functional effects based on the patient data, applying a learning method to optimize results for presentation to a user, and presenting optimized results to the user.

Abstract: A method of prediction of response to immunotherapy for patients diagnosed with a proliferative, degenerative or inflammatory disease, is provided, the method comprising analysis of physicochemical properties of the set of neo-antigens produced by the injured tissue.

Abstract: Disclosed are methods for treating a cancer in a patient. The method comprises: (a) defining a set of substances targeting pathogenic genes identified by screening of a sample of cancer cells from a patient by NGS or other technique, (b) identifying two or more target genes in the cancer cells, each of which containing an actionable mutation and (c) testing, using in vitro culture cell experiments, the efficacy of one or more substances (administered sequentially or concurrently) targeting the actionable mutation for each of the two or more target genes identified and (d) designating potential efficacious therapeutic options that will be used to treat the patient's cancer.

Abstract: In an aspect, a method includes obtaining patient data for a patient, the patient data including one or more molecular biomarkers specific to the patient, standardizing and curating the patient data, classifying the standardized and curated patient data including classifying the one or more molecular biomarkers by one or more of its functional effects, using the one or more functional effects for the one or more molecular biomarkers to identify a combination of available therapeutic options by targeting biomarkers with relevant functional effects based on the patient data, applying a learning method to optimize results for presentation to a user, and presenting optimized results to the user.