Introduction Drug allergies can have severe consequences, necessitating accurate diagnosis and management. A research group focused on drug allergies has made significant progress in this area. They developed and evaluated two drug allergy prediction models, publishing the data in the Journal of Allergy and Clinical Immunology. The Models The study utilized a machine learning approach, specifically a random forest (RF) model and a logistic regression (LR) model, to identify culprit drugs based on drug-specific IFN-γ-releasing cells and clinical parameters in non-immediate drug hypersensitivity. The RF model achieved an average AUROC…
Read MoreAI Detectives: How Machine Learning Could Revolutionize Drug Allergy Diagnosis
