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Combining narrow-band ultraviolet B light and stem cell transplantation helps repigmentation in vitiligo by maintaining calcium balance in mice.

A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.

ALUDWIG can help standardize female hair loss assessment from a single image.

Non-thermal plasma could help hair growth by activating key cell signals.

Machine learning and single-cell analysis improve understanding and treatment of wound healing.

Turning white fat into brown-like fat could help fight obesity and type 2 diabetes.

Gene therapy shows promise for healing chronic wounds but needs more research to overcome challenges.

Turning scar-forming cells into fat cells can reduce scarring.

AI-personalized hair loss treatments improved hair growth and scalp health without side effects.

Transfer learning with three neural network architectures accurately classifies hair diseases.

3D-printed membranes with smart sensors can greatly improve tissue healing and have many medical applications.

The model and estimator can predict drug exposure in kidney transplant patients well.

Hair transplantation techniques have improved, making the process safer and more effective with less visible scarring.

The document concludes that blocking the internal pathways that create androgens might help treat cancers that depend on sex hormones.

3D-printed microneedles improve drug delivery and diagnostics but face scalability and regulatory challenges.

Effective sunscreen formulations can reduce skin absorption and enhance protection.

Hair follicle stem cells help maintain skin health and could improve skin replacement therapies.

Chitosan–hydroxyapatite biocomposites are promising for tissue engineering due to their safety and ability to support healing.

The AI model accurately classifies Alopecia Areata with 96.94% accuracy.

Advanced human skin models improve drug development and could replace animal testing.

The MXD/24HA salt is more effective for hair growth than raw MXD.

Clonally expanded CD8+ T cells cause alopecia areata.

Fine-tuned BERT models are better than LLMs for detecting bias in medical data.

PRC1 influences skin stem cell development by both turning genes on and off, affecting hair growth and skin cell types.

Certain small molecules can help regrow hair by turning on the body's cell cleanup process.

Stem cells are crucial for tissue growth, cancer treatment, and disease modeling, but challenges remain in clinical use.

Fibroblasts, cells usually linked to tissue repair, also help regenerate various organs and their ability decreases with age. Turning adult fibroblasts back to a younger state could be a new treatment approach.

Topical imiquimod is as effective as 5-fluorouracil for treating actinic keratosis, with about a 5% risk of it turning into squamous cell carcinoma.

The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.

New models predict male pattern baldness better than old ones but still need improvement.