research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
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research The Predictive Value of Midscalp Hair Density and Terminal Hair Percentage in the Severity Evaluation of FPHL Assessed by Trichoscan in a Sample of Chinese Population
Midscalp hair density and terminal hair percentage are good indicators of female pattern hair loss severity.
research Evaluating the Predictors of Persistent Long COVID Symptoms and Their Severity in COVID-19 Survivors 1 Year After Infection
Long COVID symptoms vary and are influenced by personal and health factors.
research Rash morphology as a predictor of COVID‐19 severity: A systematic review of the cutaneous manifestations of COVID‐19
Certain types of rashes in COVID-19 patients may indicate more severe illness and higher risk of death.
research Second-to-fourth digit ratio and age predicting the severity of androgenetic alopecia: a cross-sectional study
Lower 2D:4D ratio and older age increase the risk of severe hair loss in men.
research Evaluating the Role of the Gabrin Sign in Predicting COVID-19 Severity Among Patients with Androgenic Alopecia
Severe hair loss may increase the risk of dying from COVID-19.
research Serum paroxonase 1 level may be an indicator and predictor of the severity of androgenetic alopecia
Low PON1 levels may indicate and predict the severity of hair loss.
research Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
Scalp cooling to prevent hair loss from chemotherapy works for some but not all, and studying hair damage markers could improve prevention and treatment.
research Predictive Factors of Response and Real‐World Experience of Baricitinib on Alopecia Areata: A Single Tertiary Center Study on a 72 Patients' Cohort
Baricitinib is a safe and effective treatment for alopecia areata, with better results in patients with lower initial severity, shorter disease duration, and longer treatment.
research Characteristics and predictive values of super-responders in alopecia areata under tofacitinib treatment: A single-center retrospective study
Older patients without prior JAK inhibitor treatment respond best to tofacitinib for alopecia areata.
research Defining a Therapeutic Window of Opportunity in Alopecia Areata: Predictors of Early Response to Baricitinib
Patients with certain baseline characteristics are more likely to benefit early from baricitinib for alopecia areata.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research Clinical Predictors of Outcome in Nonsegmental Vitiligo: A Prospective Cohort Study
Certain skin and family history markers predict vitiligo severity and treatment needs.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Clinico-sonographic Correlation and Predictors of Polycystic Ovarian Syndrome
Oligomenorrhea is the strongest predictor of PCOS severity.
research Serum Level of Macrophage Migration Inhibitory Factor (MIF) in Egyptians With Alopecia Areata and Its Relation to the Clinical Severity of the Disease
Higher MIF levels in alopecia areata patients suggest it could be a treatment target and disease predictor.
research Table 1_Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study.docx
Baseline severity, disease activity, and relapse history are key to predicting response and recurrence in alopecia areata.
research 129 Utilizing Polygenic score in predicting the disease activity and arthritis in psoriasis patients
Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
research 173 Impact of Clinical Severity on Absenteeism and Presenteeism in Patients with Hidradenitis Suppurativa
Severe Hidradenitis Suppurativa increases missed and unproductive workdays.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research 42227 Efficacy and Predictive Factors of Systemic Corticosteroid in Alopecia Areata: Reappraisal of Oral Methylprednisolone Tapering Treatment
Methylprednisolone treatment helps most alopecia areata patients, but young age, extensive hair loss, and low vitamin D can affect results.
research Efficacy and predictive markers of response to tofacitinib and baricitinib therapy in alopecia areata: A 52-week comparative cohort study
Tofacitinib and baricitinib are similarly effective and safe for alopecia areata, but baricitinib works faster.
research Serum Level of Programmed Death Ligand1 in Alopecia Areata Patients in Relation to Disease Severity
Higher levels of PD-L1 are linked to more severe hair loss in people with Alopecia Areata.
research Eosinophilia versus atopy as a predictor of severe phenotypes in alopecia areata
Both atopy and eosinophilia are linked to more severe hair loss in people with alopecia areata.
research Novel Synthetic Steroid Derivatives: Target Prediction and Biological Evaluation of Antiandrogenic Activity
New steroid compounds may help with hormonal therapy and have potential benefits for glucose disorders, but more research is needed.
research Risk Factors and Epidemiology of Acne Severity and Acne Scar Development: A Comprehensive Clinical Study
Early detection and treatment of acne can prevent scarring and improve quality of life.
research Comparison of Alopecia severity and blood level of testosterone in men suffering schizophrenia with control group
Men with more severe hair loss had a lower risk of schizophrenia, but hair loss and testosterone levels were not linked.
research Trichoscopic findings in alopecia areata and their relation to disease activity, severity and clinical subtype in T urkish patients
Certain scalp patterns can indicate the severity and activity of hair loss in Turkish alopecia patients.
research PD-1+CXCR5−CD4+T cells are correlated with the severity of systemic lupus erythematosus
Tph cells are linked to the severity of systemic lupus erythematosus.
research Hematological ratios as an indicator of severity in alopecia areata: A retrospective nationwide study
Hematological ratios can effectively predict and manage alopecia areata severity.