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Intravenous corticosteroid therapy is effective for long-term hair regrowth in alopecia areata, and a scoring system helps predict treatment success and relapse.

A 3:1 surfactant mixture in microemulsions can effectively deliver finasteride through the skin.

DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.

Alopecia areata involves specific immune cells, offering potential treatment targets.

Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.

Minoxidil activation by hair enzymes predicts treatment success for female hair loss.

Testing basal 17-HP levels is a good way to screen for nonclassic adrenal hyperplasia in women with high androgen levels.

Infrared thermography, especially with dermoscopy, improves accuracy in diagnosing active hair loss due to inflammation.

Early baldness and little chest hair may indicate higher prostate cancer risk.

Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.

DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.

Four new FGF5 gene variants cause long hair in dogs.

The research found that genetic factors for male pattern baldness in African men differ significantly from those in Europeans.

AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.

AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.

Merkel cell carcinoma is most likely to recur within two years of diagnosis, and factors like immune suppression, being over 75, and male sex increase this risk.

Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.

Genetic predictions of baldness in Europeans don't apply well to African men.

MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.

Model improves accuracy in predicting hair loss effects.

Dermoscopy improves accuracy in predicting treatment success for androgenetic alopecia with the Regenera® protocol.

Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

BMI is not a significant predictor of complications after gender-affirming penile inversion vaginoplasty.

The data set helps improve predictions of how substances are absorbed through pig skin.

Case-only trees and random forests improve predictions of treatment effects in clinical trials.

Blood count parameters are not reliable for predicting recurrent implantation failure.

New app improves storm surge predictions; advances in baldness treatment show potential but require time.

Histopathology is crucial for accurately diagnosing and predicting outcomes of skin adnexal tumors.