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1. Influence of pharmacogenomic polymorphisms on allopurinol-induced cutaneous adverse drug reactions in Thai patients

3. Non–Skin Related Symptoms Are Common in Chronic Spontaneous Urticaria and Linked to Active and Uncontrolled Disease: Results From the Chronic Urticaria Registry

4. IFN-γ ELISpot-enabled machine learning for culprit drug identification in nonimmediate drug hypersensitivity

7. The Benefit of Complete Response to Treatment in Patients With Chronic Spontaneous Urticaria—CURE Results

11. Non-Skin-Related Symptoms are Common in Chronic Spontaneous Urticaria and Linked to Active and Uncontrolled Disease: Results from CURE

16. Reliability and validity of the Thai Drug Hypersensitivity Quality of Life Questionnaire : a multi-center study

18. Analysis of HLA-B Allelic Variation and IFN-γ ELISpot Responses in Patients with Severe Cutaneous Adverse Reactions Associated with Drugs

29. Validity and Reliability of the Thai version of the Family Dermatology Life Quality Index.

34. Machine learning approach for culprit drug identification based on drug-specific interferon-gamma releasing cells and clinical parameters in non-immediate drug hypersensitivity

36. Diagnostic criteria for atopic dermatitis in adult Thai population

40. Spectrum of cutaneous adverse reactions to aromatic antiepileptic drugs and human leukocyte antigen genotypes in Thai patients and meta-analysis

41. Clinicopathological significance among patients with in vivo epidermal nuclear staining by direct immunofluorescence study

42. The Role ofIn VitroDetection of Drug-Specific Mediator-Releasing Cells to Diagnose Different Phenotypes of Severe Cutaneous Adverse Reactions

43. Development and Evaluation of an In-House ELISA to Detect Anti-Fc R1 IgG Autoantibodies in Chronic Spontaneous Urticaria Patients.

49. Adult female acne: Clinical characteristics and factors significantly associated with polycystic ovary syndrome.

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