FOOD ANIMAL RESIDUE AVOIDANCE DATABANK (FARAD)

Kansas State University-Olathe (KSUO)will be responsible for developing interfaces by which FARAD responders can access the KSUO comparative medicine databases and associated computational tools, as well as accessing relevant global data. The KSUO team will pursue the goal of developing novel AI technologies practical to food-animal production for collecting, organizing, merging, and cleaning data and help easily submit queries to obtain information regarding the datasets of Global maximum residue limits (MRLs) and withdrawal periods (WDPs). They will also conduct research in designing a full-text retrieval system that will enable the creation of an information retrieval database that can be easily queried, performing metadata analysis on bibliographic records in veterinary medicine as well as those validated by the current FARAD database. This information retrieval system is significant and will be used to develop hybrid models of content-based and bibliometric features for machine learning applications to extract and clean data from different resources as an integral part of the next-generation FARAD program.