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- Alopecia areata predictive score: A new trichoscopy‐based tool to predict treatment outcome in patients with patchy alopecia areata
- Characteristics and predictive values of super-responders in alopecia areata under tofacitinib treatment: A single-center retrospective study
- Predictive factors for treatment responses to baricitinib in severe alopecia areata: A retrospective, multivariate analysis of 70 cases from a single center
- Predictive Factors of Response and Real‐World Experience of Baricitinib on Alopecia Areata: A Single Tertiary Center Study on a 72 Patients' Cohort
- Prediction of Long-term Scalp Hair Regrowth at 24 Months in Patients with Alopecia Areata Receiving Ritlecitinib Treatment in the ALLEGRO Clinical Trial Program
- Long‐term outcomes of intravenous corticosteroid pulse therapy for rapidly progressive alopecia areata: A single‐center retrospective analysis of 106 cases and usefulness evaluation of a scoring system originally designed for half‐year efficacy prediction for extended periods
- Evaluation of SALT score severity in correlation with trichoscopic findings in alopecia areata: a study of 303 patients
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
- LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
- Dietary Habits in Japanese Patients with Alopecia Areata
- High frequency of cutaneous manifestations including vitiligo and alopecia areata in a prospective cohort of patients with chronic graft-vs-host disease
- Update on pulse corticosteroid therapy for the management of alopecia areata
- Moving Beyond Boundaries: Utilization of Longitudinal Exposure–Response Model for Bounded Outcome Score to Inform Decision Making in the Accelerated Drug Development Paradigm
- Evaluating the Effect of the Demographic, Trichoscopic and Laboratory Characteristics on The Recurrence of Alopecia Areata
- Table 1_Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study.docx
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Alopecia areata: Multivariate analysis for predicting its clinical course
- The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
- A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
- Factors predicting response to oral methylprednisolone tapering treatment in alopecia areata: A retrospective study
- Efficacy and predictive markers of response to tofacitinib and baricitinib therapy in alopecia areata: A 52-week comparative cohort study
- Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- 546 Gene expression signatures and ALADIN score correlates with response of alopecia areata patients to treatment with JAK inhibitors
- Serum level of calprotectin as a new inflammatory marker in patients with alopacia areata
- Serum IL-21 Level and Its Relation to Activity and Severity of Alopecia Areata
- Safety and efficacy of the JAK inhibitor tofacitinib citrate in patients with alopecia areata
- Objective outcome measures: Collecting meaningful data on alopecia areata
- Predictive Metagenomic Profiling, Urine Metabolomics, and Human Marker Gene Expression as an Integrated Approach to Study Alopecia Areata