Duke University

Systamedic Inc.

William T Loging

Robert A Volkmann

Gregory J Riggins

Anton F Fliri

Anita Lal

The disclosed embodiments relate to data mining methods for determining economically valuable cause effect relationships between objects and properties associated with objects using co-occurrence frequency measurements of semantic terms characterizing observations of properties, effects or behaviors of objects in different environments and using these measurements as object descriptors in calculations determining object similarities. Specifically, these methods may be used to identify new indications of medicines, identify biomarkers associated with disease, identify biomarkers associated with drug effects, quantify disease diagnosis, identify novel drug targets, identify pharmacologic equivalencies of medicines, identify pharmacologic equivalencies between medicines and traditional medicines, identify pharmacologic equivalencies between medicines and Natural products, identify equivalencies between alternate medical procedures, identify risk benefit profiles of medicine combinations, identify targets for antibodies, identify synergies between medicines, identify Side effects of medicines, identify risks of experimental medicines, identify functions of biological networks.

Method of knowledge extraction through data mining

ABCC3, GPNMB, NNMT, and SEC61&#x3b3; are expressed at higher levels in glioblastoma than in normal brain tissue. These four genes and their expression products are useful for diagnosing and treating glioblastoma and for identifying potential anticancer drugs.

Growing community of inventors

Salem, CT, United States of America

William T Loging