research Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
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research The Expanded “Flying-Wings” Scalp Flap for Aesthetic Hemiscalp Alopecia Reconstruction in Children
The "flying-wings" scalp flap technique is a simple, safe, and effective way to reconstruct large areas of scalp loss in children.
research Algorithm proposal for hair transplantation in fibrosing alopecia pattern distributidon.
The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.
research Modified S Pattern for Scalp Reduction
The modified S pattern for scalp reduction is effective for removing more bald scalp and hiding scars in hair restoration.
research A Combination Flap for Repair of Eclabium
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Surgical tactics for injuries of the anterior walls of the frontal sinuses
The (bi)eyebrow approach is better for frontal sinus injuries, reducing scarring and complications.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
research Glucose‐Activated Programmed Hydrogel with Self‐Switchable Enzyme‐Like Activity for Infected Diabetic Wound Self‐Adaptive Treatment
The hydrogel speeds up diabetic wound healing by adapting to glucose levels and releasing insulin.
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 Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research A Temporal Mathematical Model of Alopecia Areata: Investigating Hair Cycle Dynamics and Disease Progression
The model helps understand alopecia areata and suggests ways to improve treatment by targeting immune issues.
research Winer's dilated pore, rare presentation in the external ear canal
Accurate diagnosis of Winer's dilated pore in the ear is crucial to avoid unnecessary aggressive treatment.
research 478 Mutation-specific siRNA Knockdown of GJB2 − Potential gene therapy for Keratitis-ichthyosis-deafness Syndrome
Targeted siRNA therapy may be a promising treatment for KID syndrome by reducing mutant gene expression and improving cell communication.
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 Structure optimization of tetrahydropyridoindole-based aldose reductase inhibitors improved their efficacy and selectivity
Optimizing the structure of a specific compound greatly improved its effectiveness and precision for treating diabetic complications.
research Quantitative assessment of female pattern hair loss
Computer-aided imaging system helps measure balding area in female pattern hair loss.
research Use of rotary echoes in 2 H
A new method accurately measures molecular movement without complex modeling.
research MobiMed: Framework for Rapid Application Development of Medical Mobile Apps
The framework helps develop medical apps on mobile devices to reduce reliance on desktop computers.
research The Trichoscopy Derived Sinclair Scale: Enhancing visual assessment through quantitative trichoscopy
The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
research Response Surface Methodology (RSM) approach to formulate and optimize the bilayer combination tablet of Tamsulosin and Finasteride
The study successfully formulated and optimized a bilayer tablet combining Tamsulosin and Finasteride using response surface methodology.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research Snail Flap for Scalp Reconstruction: Technique and Outcomes
The snail flap technique is an easy, reliable, and hair-preserving method for scalp reconstruction, especially good for elderly or frail patients.
research Par3–mInsc and Gαi3 cooperate to promote oriented epidermal cell divisions through LGN
Par3–mInsc and Gαi3 work together to ensure proper cell division orientation in skin development.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Coupled 3D reconstruction of sparse facial hair and skin
The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
research Asymmetric adhesive SIS-based wound dressings for therapeutically targeting wound repair
The new wound dressing improves healing and tissue repair better than conventional dressings.
research Stepwise Surgical Treatment of Gnathophyma
research Efficacy and safety of SGLT2 inhibitor on insulin resistance and hyperglycemia in Werner syndrome—A case report
Dapagliflozin improved blood sugar control in a man with Werner syndrome without side effects.