Chest 'digital twin' predicts light paths to help plan personalized pneumonia treatment

AI Summary

Researchers at the University of São Paulo and international collaborators developed a computational digital twin of the human thorax to model light paths. The tool could help personalize light-based treatment for pneumonia and other respiratory diseases.

Researchers at the University of São Paulo (USP) in Brazil and their international collaborators have created a computational model that can generate a "digital twin" of the human thorax. The goal is to personalize the treatment of respiratory diseases using a special type of light.