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In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

This study identified miR-200c-3p as influencing key genes in the EGFR resistance pathway, suggesting its potential theranostic role in addressing issues related to this pathway.

This study demonstrates that Sox2-positive dermal papilla cells specify particular hair follicle types by showing heterogeneity in gene expression and pathway activation in these cells.

This study in mice found that overexpressing Sonic Hedgehog in basal cells caused skin anomalies and a lack of certain hair fibers, underscoring its key role in hair follicle development.

This study found that the Transdermal Delivery System efficiently delivers testosterone systemically and showed bioequivalent hormone concentrations to a known topical gel in healthy males.

This study proposes an AI-based method, DRGCC, using GraphSAGE and clustering constraints to predict associations between drugs and diseases, demonstrating reliable predictive performance that may aid drug repositioning efforts, including exploring drugs for COVID-19 treatment.

This study developed a two-step diagnostic model using transcriptome biomarkers from hair follicles to improve the accuracy of methamphetamine use disorder diagnosis, achieving high prediction accuracy in distinguishing non-recovered and almost-recovered patients from healthy controls.

This study reported that Lung-Ultrasound effectively monitors lung recovery in COVID-19 ARDS survivors, and identified a link between high EPAP-CPAP pressure and cardiopulmonary impairment.

This study found that the pharmacokinetics of a single oral dose of finasteride are similar between elderly and non-elderly adults, suggesting no significant impact of age.

This study found that polarized light microscopy is more effective than diffractive microscopy in distinguishing scarring from non-scarring alopecia, providing a highly specific adjunct diagnostic tool for alopecia biopsy specimens.

This study introduced the KRDQN predictive framework, which outperformed existing methods in predicting adverse drug reactions and provided interpretable insights into drug mechanisms, aiding pharmacovigilance and clinical decision-making.

In this study, the Tibot AI application showed high diagnostic accuracy for adnexal and pigmentary disorders and cutaneous tumors in dermatology, but was less effective for immunological disorders and infestations, suggesting the need for further dataset refinement.

In this retrospective study, researchers developed machine learning models to predict mortality risk among 7115 COVID-19 patients in Iran, finding that the random forests model performed best with 96% accuracy and identified factors like intubation and SpO2 as significant predictors.

This study found that first-line treatment with docetaxel and carboplatin was safe and effective for elderly patients with advanced non-selective non-small-cell lung cancer, showing an overall efficacy rate of 47.87%.

This study found that the pharmacokinetic profile of finasteride capsules and tablets in healthy volunteers is bioequivalent.

In this study, the authors concluded that the tested and reference finasteride tablets showed bioequivalence in healthy male volunteers.

This study examined serum ischemia-modified albumin levels in men with androgenic alopecia compared to healthy controls and found no diagnostic value, though higher levels were associated with more severe alopecia, indicating potential involvement in disease progression.

In this study, the researchers found that two formulations of finasteride tablets were bioequivalent in Chinese healthy male volunteers.

This study found that DrugNet, a network-based prioritization method, effectively improves drug repositioning tasks, achieving high performance in validation tests and clinical trial comparisons.

In this study, researchers used genetic data from over 52,000 men to identify over 250 genetic loci associated with severe hair loss and developed a predictive algorithm for determining hair loss risk.

This study concluded that terminal Schwann cells are essential for the maintenance and regeneration of mechanosensory lanceolate complexes at hair follicles in adult mice.

In this study, distinct metabolic profiles were identified in women with PCOS, suggesting potential biomarkers for diagnosis based on changes in lipid and androgen metabolism.

This study found that while genetic variants contribute minimally to predicting hair greying in a Polish population, age remains the primary predictor, underscoring the complexity of hair greying as a genetic trait.

This study found that Runx3 deficiency in mice affects hair type and shape, suggesting it may regulate hair formation through interactions between dermal and epidermal layers.

This study observed that serum AMH concentration and LH/FSH ratio showed comparable diagnostic value for PCOS among infertile women, though neither is adequate alone for diagnosis.

This study found that a new quercetin-loaded self-nanoemulsifying drug delivery system improved quercetin bioavailability by 149.8% compared to its suspension in rats.

This study found that cetirizine-loaded niosomal gels demonstrated superior skin deposition and retention compared to plain cetirizine gel, suggesting potential for improved topical management of alopecia.

In this study, researchers found that people with Parkinson's disease showed higher levels of inflammasome proteins, including caspase-1, ASC, and IL-18, compared to healthy individuals, suggesting these proteins as reliable biomarkers for inflammation in PD.

This study developed a pharmacokinetic/pharmacodynamic model for finasteride, concluding that finasteride's nonlinear pharmacokinetics are likely due to its saturable binding to 5alphaR2.

This study suggests that the anogenital distance measure AGD_AC may moderately discriminate the presence of polycystic ovarian syndrome and could be a useful clinical tool.