research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
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research Predicting the Therapeutic Results of Unwanted Hair Growth with the Alexandrite Laser Device
The alexandrite laser effectively reduces unwanted hair by about 75%.
research In silico structural prediction of human steroid 5α-reductase type II
Scientists found out the structure of a human enzyme linked to prostate cancer and hair loss, which could help in designing drugs.
research A transcriptomic map of murine and human alopecia areata
Alopecia areata involves specific immune cells, offering potential treatment targets.
research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
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.
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 Supplementary Figure 2 from Male-Pattern Vertex Baldness Trajectories, Chest Hair Patterns, and Odds of Overall and Aggressive Prostate Cancer
Early baldness and little chest hair may indicate higher prostate cancer risk.
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 Regenerative medicine meets mathematical modelling: developing symbiotic relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
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 Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Dose‐response of human follicles during laser‐based hair removal: Ex vivo photoepilation model with classification system embracing morphological and histological features
Higher light doses cause more damage to hair follicles, predicting better hair removal results.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Organoid‐Guided Precision Medicine: From Bench to Bedside
Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
research Prediction and Demonstration of Retinoic Acid Receptor Agonist Ch55 as an Antifibrotic Agent in the Dermis
Ch55 may help reduce skin scarring and fibrosis.
research Discriminative models of the possibility of occurrence and features of the course of alopecia areata in Ukrainian men depending on the features of body structure and size indicators
Body structure can help identify alopecia areata in Ukrainian men, but not predict its course.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research A Modeling Conundrum: Murine Models for Cutaneous Wound Healing
Current murine models need improvement for better human wound healing research translation.
research The place of B‐mode ultrasonography, shear‐wave elastography, and superb microvascular imaging in the pre‐diagnosis of androgenetic alopecia
B-mode ultrasonography and shear-wave elastography can help predict androgenetic alopecia early.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research 1747 PREDICTION OF BLADDER PROSTATIC OBSTRUCTION: DEVELOPMENT OF A SIMPLIFIED CLINICAL NOMOGRAM
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.