research Toward a Diagnostic Score in Cushing's Syndrome
The document suggests creating a validated score to diagnose Cushing's Syndrome and considers plasma steroid profiling as a simpler diagnostic method.
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research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Distinct miRNA signatures could help diagnose and treat severe Alopecia Areata.
research ISIDLB1647 - Precise diagnosis and therapeutic effect evaluation by dermoscopy and calcium fluorescent white staining for tinea capitis and other hair fungal infection
Combining dermoscopy and calcium fluorescent white staining improves diagnosis and treatment of hair fungal infections.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Hirsutism – From Diagnosis to Use of Antiandrogens
Antiandrogens are the main treatment for hirsutism, with individualized care and safe, affordable options needed.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research A study of serial vertical sectioning of scalp biopsies to increase the histological diagnostic yield in alopecias
Cutting scalp biopsies in consecutive slices improves diagnosis of hair loss conditions.
research Prostate specific antigen (PSA) in diagnosis of polycystic ovarian syndrome – a new insight
PSA levels are higher in women with PCOS, but FAI is a more accurate marker for diagnosis.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research The AndroCoV Clinical Scoring for COVID-19 Diagnosis: A Prompt, Feasible, Costless, and Highly Sensitive Diagnostic Tool for COVID-19 Based on a 1757-Patient Cohort
The AndroCoV Clinical Scoring is a quick, accurate, and free tool for diagnosing COVID-19.
research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Specific miRNA profiles can help diagnose and treat alopecia areata.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research The reliability of horizontally sectioned scalp biopsies in the diagnosis of chronic diffuse telogen hair loss in women
Horizontally sectioned scalp biopsies are more reliable for diagnosing hair loss in women when three samples are taken instead of one.
research Proof-of-Principle Study of Inflammasome Signaling Proteins as Diagnostic Biomarkers of the Inflammatory Response in Parkinson’s Disease
Inflammasome proteins may help diagnose and treat Parkinson's disease.
research Inflammatory bowel disease: pathogenesis, diagnosis and current therapeutic approach
IBD treatment is complex and requires personalized approaches due to varying patient responses.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Elastic staining versus fluorescent and polarized microscopy in the diagnosis of alopecia
EVG staining is the most reliable method for diagnosing alopecia.
research Clinical Signs and Laboratory Tests for the Differential Diagnosis ofAndrogenic and Post-COVID-19 Alopecia in Women
Post-COVID-19 hair loss is different from androgenetic alopecia and can be identified by lower copper and higher selenium levels.
research Receiver operating characteristic analysis of the performance of basal serum hormone profiles for the diagnosis of polycystic ovary syndrome in epidemiological studies
Low SHBG and high FAI, FT, and DHEAS levels are effective in identifying PCOS.
research MANAGEMENT OF ENDOCRINE DISEASE Hyperandrogenic states in women: pitfalls in laboratory diagnosis
Diagnosing hyperandrogenism in women is complex and requires accurate testing methods and consideration of SHBG levels.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research Síndrome de ovario poliquístico: la distancia anogenital como marcador del entorno androgénico prenatal y revisión y comparación de los criterios diagnósticos
Longer anogenital distance may indicate a higher chance of having polycystic ovary syndrome, and measuring this distance along with hormone levels could improve diagnosis.
research The Common Ultrasonographic Features of Pilomatricoma
Ultrasonography improves pilomatricoma diagnosis accuracy.
research Polycystic ovary syndrome: Criteria, phenotypes, race and ethnicity
PCOS diagnosis and treatment should consider race and ethnicity for accuracy.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.