research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
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30-60 / 716 resultsresearch Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride
Food intake, not genetics, affects how the body processes tadalafil and finasteride.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.
research Bioequivalent assessment of finasteride tablets
Locally made finasteride tablets work the same as imported ones.
research The Percentage of Free PSA and Urinary Markers Distinguish Prostate Cancer from Benign Hyperplasia and Contribute to a More Accurate Indication for Prostate Biopsy
% free PSA and urinary markers help better identify prostate cancer.
research Dihydroartemisinin loaded nanostructured lipid carriers (DHA-NLC): evaluation of pharmacokinetics and tissue distribution after intravenous administration to rats.
DHA-NLC may improve drug delivery and reduce side effects for cancer treatment.
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 Effects of Transcutol P and Precirol ATO-5 on Percutaneous Absorption of Flutamide from Emulgels
Flutamide emulgel with 1% Transcutol P absorbs better through the skin than other mixtures.
research Formulation optimization, in vitro and in vivo evaluation of niosomal nanocarriers for enhanced topical delivery of cetirizine
Niosomes can effectively deliver cetirizine topically for treating alopecia.
research Evaluating the Role of Thyroid Stimulating Hormone and Ferritin Levels with Hair Loss among Patients with COVID-19: Case-Control Study
Thyroid function may influence hair loss after COVID-19.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Molecular evolution of HR, a gene that regulates the postnatal cycle of the hair follicle
Changes in the HR gene have influenced hair growth and may lead to hair loss conditions in humans.
research Serum IL-21 Level and Its Relation to Activity and Severity of Alopecia Areata
Higher IL-21 levels may help predict alopecia areata activity.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research Metabolic dysfunction in female mice with disruption of 5α-reductase 1
Female mice with disrupted 5α-reductase 1 had significant metabolic issues, including stress response problems, insulin resistance, liver fat buildup, and obesity.
research Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
Unique microRNA patterns can help diagnose and treat severe alopecia areata.
research A Phase 1, Open‐Label Study of the Pharmacokinetics of Ritlecitinib in Children Aged 6–12 Years With Alopecia Areata
Ritlecitinib was generally well tolerated in children with alopecia areata.
research Estimating the Effect of Finasteride on Kallikrein Marker Levels in Blood and the Use of Converted Markers in the Four-Kallikrein Model
Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Hair Growth Promoting Activity of Cedrol Nanoemulsion in C57BL/6 Mice and Its Bioavailability
Cedrol Nanoemulsion was found to be more effective at promoting hair growth than traditional treatments and had better bioavailability.
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 LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Serum anti-Müllerian hormone: A potential biomarker for polycystic ovary syndrome
AMH is a promising biomarker for diagnosing PCOS.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Comparative investigation of immune-related biomarkers related to alopecia areata subtypes
Alopecia areata is linked to immune system differences, with specific biomarkers like CXCL9 and CXCL10 being key for diagnosis and potential treatment targets.
research Insights From Liquid Chromatography-Mass Spectrometry-Measured Androgens in Indian Women With Polycystic Ovary Syndrome
Androstenedione is better than testosterone for diagnosing PCOS in Indian women.
research Reply
AUC and APL are distinct conditions needing careful clinical assessment.
research Exploration of the role of anti-Mullerian hormone and LH/FSH ratio in diagnosis of polycystic ovary syndrome
The study concluded that both anti-Mullerian hormone and LH/FSH ratio are higher in women with PCOS and combining these markers with BMI could improve diagnosis accuracy.