Project Summary
Antibiotic resistance stands as a formidable challenge in both human and veterinary medicine, demanding
comprehensive strategies to monitor and regulate antimicrobial usage. This FDA proposal brings together the
esteemed Food Animal Residue Avoidance Databank (FARAD) and the pioneering data analytics prowess of the
1DATA consortium to confront this urgent issue head-on. With a dual focus, the project aims to (AIM 1) extract
antimicrobial use data for major livestock and poultry species and (AIM 2) extend data collection efforts to
encompass minor species and companion animals. FARAD, a stalwart institution with over four decades of
experience, serves as the bedrock of evidence-based withdrawal recommendations in veterinary practice.
Through a collaborative network spanning prominent veterinary colleges nationwide, FARAD has cultivated
databases and tools to meticulously curate and analyze antimicrobial usage data across diverse animal
demographics. Harnessing FARAD's reservoir of expertise, this project endeavors to birth the Long-term
Antimicrobial Use with AI web-crawler (LAMU-AI), a revolutionary platform poised to bridge existing data
lacunae. LAMU-AI emerges as a beacon of innovation, amalgamating data streams from FARAD's secure case
repository, regulatory bodies, veterinary medical teaching hospitals, and online repositories to furnish real-time
insights into antimicrobial utilization trends. Armed with cutting-edge data analytics, machine learning, artificial
intelligence methodologies, and a large language processing model, LAMU-AI promises scalable and
multifaceted visualization of antimicrobial deployment patterns. This groundbreaking approach empowers
stakeholders—be it veterinarians, producers, regulatory agencies, or researchers—with the ammunition to make
judicious decisions regarding antimicrobial stewardship and public health. Central to this initiative is the
integration of disparate data sources, including FARAD's databases and regulatory testing datasets, to furnish a
complete view of antimicrobial utilization practices. The advent of a sophisticated Big Data Dashboard and
Visualization system promises to democratize the analysis and interpretation of intricate datasets, fostering
collaboration and knowledge propagation across sectors. Furthermore, robust data security protocols will
safeguard the sanctity and confidentiality of sensitive information, assuring stakeholders of the integrity of the
data ecosystem. In summation, this project represents a paradigm shift in veterinary medicine—a concerted
effort to confront critical data lacunae through the fusion of advanced data analytics and artificial intelligence.
By marrying FARAD's unparalleled expertise with the avant-garde technology of the 1DATA consortium, we
aspire not only to redefine antimicrobial surveillance but also to catalyze global endeavors aimed at combating
antibiotic resistance at its core.
