AIMC Topic: Drug Eruptions

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Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Immunopharmacology and immunotoxicology Nov 22, 2024
BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective managem...
Humans Machine Learning Algorithms Female Aged Aged, 80 and over Adult Male Middle Aged Neoplasms Immune Checkpoint Inhibitors B7-H1 Antigen Programmed Cell Death 1 Receptor Drug Eruptions
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Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

Drug safety Nov 1, 2025
UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 have been developed as scoring systems for predicting mortality associated with Stevens-Johnson syndrome (SJS) or toxic epidermal necrolysis (TEN). These...
Humans Machine Learning Algorithms Databases, Factual Female Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index East Asian People Japan Adverse Drug Reaction Reporting Systems Drug Eruptions Stevens-Johnson Syndrome
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