AI Summary
Bohic et al. utilize advanced techniques to discover hidden markers of pain using computer vision and machine learning. They identify the emotional and motor responses related to pain relief and injury recovery in animals, offering a novel method for developing painkillers in laboratory rodents.
Bohic, Pattison, and colleagues use cutting-edge quantitative approaches to uncover hidden signatures of sensory-evoked and ongoing pain. With computer vision and machine learning, they highlight the affective and motor behavioral states associated with pain relief and recovery from injury, providing a new approach to analgesic development in preclinical rodent models.