Children's Hospital Medical Center

Mayur Sarangdhar

Bruce Aronow

Scott Carl Tabar

Anil Goud Jegga

John Perentesis

Rebekah Karns

Disclosed are methods of treating an individual at risk for a negative outcome associated with a treatment for a disease, in particular a proliferative disorder such as cancer. The method may include the steps of creating a predictive assay that includes both a biomarker and a genetic mutation. The predictive assay indicates the likelihood of a negative outcome associated with a particular treatment in a particular individual, such that an individual may be administered a treatment less likely to be associated with a negative outcome.

Predictive clinical assays and methods of using same

A current system allows data-driven hypothesis generation to identify therapeutic candidates for a disease phenotype treatment by identifying drugs and clinical indications associated with lower occurrences of disease-associated phenotype(s) by a drug/drug class. A current system may include a pharmaceutical hierarchical ontology; a phenotype hierarchical ontology; a record database comprising clinical event records; a database mining engine; and a mapping engine. The database mining engine may iteratively progress through a portion of the pharmacological hierarchical ontology and phenotype hierarchical ontology to iteratively select pairs of cohort entries from each ontology; and for each pair of cohort entries, query the clinical record database for matching records. The mapping engine may map each pair of cohort entries into a matrix comprising a drug-event cell for each pair and apply a value thereto representing the number of database records matching items returned by the database mining engine for the corresponding cohort entries.

Growing community of inventors

Cincinnati, OH, United States of America

Mayur Sarangdhar