Intelligence-based anti-doping via an Intelligence and Drug Testing Management (IDTM) system.

Area of Science:

• Equine Sports Science
• Veterinary Pharmacology
• Anti-Doping Analytics

Background:

• Drug testing in equine sports is crucial for maintaining fair competition and animal welfare.
• Existing systems may lack comprehensive data integration, hindering effective threat identification.
• The need for advanced analytical tools to combat doping and ensure integrity in racing is paramount.

Purpose of the Study:

• To introduce the Intelligence and Drug Testing Management (IDTM) system.
• To demonstrate IDTM's capability in enhancing drug testing analytics.
• To highlight the system's role in identifying and mitigating doping threats.

Main Methods:

• Development of a unified platform integrating horse information and intelligence.
• Implementation of advanced analytics for drug testing data.
• Cross-referencing intelligence data with testing results for comprehensive analysis.

Main Results:

• The IDTM system provides a single platform for drug testing analytics.
• Enhanced identification of potential doping activities through integrated data.
• Improved mitigation strategies for identified threats.

Conclusions:

• The Intelligence and Drug Testing Management (IDTM) system offers a significant advancement in equine anti-doping efforts.
• Integrated data analytics within IDTM are effective in detecting and managing doping risks.
• The platform contributes to the integrity and safety of equine sports.