Advancements in technology have significantly improved the detection of Performance Enhancing Drugs (PEDs) in sports.
New testing methods are capable of identifying even the most trace amounts of banned substances in athletes’ bodies.
Biological passports are now used to monitor athletes over time, making it harder to cheat the system.
Despite these advancements, there is still a cat-and-mouse game between dopers and authorities.
The integration of AI and machine learning in drug testing shows promise in predicting and identifying doping patterns.
The fight against PEDs is a continuous effort, relying heavily on technological innovations.
