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Food Animal Residue Avoidance Databank (FARAD)


The goal of the national FARAD program is to protect the American public by promoting the production of safe, animal-derived human food products (milk, eggs, meat, honey, etc.) that are devoid of violative or potentially unsafe chemical residues,including drugs, pesticides, environmental contaminants, natural toxins and other harmful substances.There are six specific objectives of the national FARAD program: (1) extraction and validation of data for incorporation into the system and support for FARAD's approved drug databases for publication in electronic format (VetGRAM) for internet-based delivery, including extraction of relevant data from foreign drug compendia and gFARAD partners, (2) operation of the Regional Access Centers (RAC's) at NCSU, VMCVM and UCD for provision of residue avoidance information, with access through the toll-free hotline and online submission form, (3) data entry, pharmacokinetic analysis, maintenance, and distribution of the FARAD files, (4) preparation of FARAD Digests for publication in the Journal of the AVMA, newsletters and FARAD fact sheets/species information web based pages, (5) education of veterinarians on drug residue avoidance, and (6) continued development and validation of methods to allow extrapolative techniques to be used in providing information and advice insituations where no direct data currently exists, as is typically required for nearly all environmental contaminant exposures.The goal of the KSU component of the FARAD program is to develop web-based interface platforms and databases that allow FARAD responders to calculate drug withdrawal intervals after extralabel use of different drugs in different food animal species real time.There are five specific objectives of the KSU component of the FARAD program: (1) to continue developing a Physiological Parameter Database in several food animal species, including goats, sheep, chickens, and turkeys, (2) to develop a generic interactive physiologically based pharmacokinetic (iPBPK) platform for drugs in food animals, (3) to develop PBPK model for specific drugs based on the calls/inquiries we received, (4) to expand FARAD databases to develop global connection, and (5) to develop a HTML webpage and an artificial intelligence system for global FARAD program.

Lin, Zhoumeng
Kansas State University
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