translational medicine

Linguamatics, the leader in natural language processing (NLP)-based text mining, announced that the Federal Drug Administration’s (FDA) Center for Drug Evaluation and Research (CDER) has licensed its 12E text mining platform as a discovery and decision support tool to supplement laboratory research efforts on drug safety.  The FDA will use the platform to review published literature and drug product labels to address key biomedical issues, including mechanisms of drug toxicity and disease processes.  In addition to document retrieval, the 12E platform can identify, extract, synthesize, and analyze relevant facts and relationships (e.g., between genes and diseases, drugs and side effects).  Customers include top tier commercial, academic, and governmental organizations, including 9 of the top 10 global pharmaceutical companies.  The 12E platform is available both as an in-house or cloud-based system.

Typical applications in pharmaceutical, biotechnology, and healthcare include:
•    Mapping gene-disease relationships and identifying potentially novel therapeutic targets
•    Biomarker discovery
•    Drug repurposing
•    Drug safety
•    Patent analysis
•    Clinical trial site selection and study design
•    Mining electronic medical records to improve prediction of health outcomes
•    Translational medicine
•    Competitive intelligence
•    Social media mining
•    Subjective data mining (sentiment analysis, key opinion mining)

SourcesBioSpace and Business Weekly

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Translational Toxicology: Biomarker Development

Posted by cdavenport on Monday May 16, 2011 Under Drug Safety, Renal, toxicity

Biomarker use in translational medicine is predicated upon preclinical qualification and validation – 2 distinct steps in the biomarker development process.  Prior to issue in 2009 (EMA) and 2010 (FDA, PMDA) of the renal-specific DRAFT qualification guidelines, there was no clear direction by the U.S. Food and Drug Administration (FDA) or European Medicines Agency (EMA) of how companies should qualify new biomarkers for disease progression or clinical trial endpoints.  The trend in biomarker use is multivariant analysis, the tracking of subtle changes in multiple biomarkers simultaneously, often utilizing various tissue types.   While the new guidance addresses biomarker qualification, analytical validation of new biomarkers remains undefined.  This review updates the reader of the status of both qualification and validation of translational biomarkers.

 

Source: Drug Discovery & Development

Additional Reading:

Predictive Safety Testing Consortium: special issue of Nature Biotechnology (renal biomarkers)  (http://www.c-path.org/PSTCPublications.cfm)

EMA:  Qualification of novel methodologies for drug development guidance to applicants.

 

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