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The treatment improved survival and controlled cancer spread but required managing side effects like rashes.

AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.

Genes affecting wool fiber thickness in Angora rabbits were identified, which could help breed finer wool.

The hole technique is faster and effective for hair transplant site creation.

848 genes related to fat and metabolism are less active in people with Central Centrifugal Cicatricial Alopecia.

The new hair follicle harvesting technique improves hair transplant results and makes the procedure quicker and easier to learn.

Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.

A new mutation in the HR gene causes hair loss in a specific family.

The modified Sinclair scale effectively measures hair loss severity in men.

The CRABP I gene in cashmere goats is highly conserved but has unique features at specific amino sites.

Machine learning can improve early and accurate detection of PCOS.

Sleep patterns might be linked to hair loss, but more research is needed.

The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.

The machine learning model accurately detected hair loss and scalp diseases using processed images.

Hair analysis can effectively detect diabetes and aging markers.

A new technique using a multibladed knife makes preparing hair transplant minigrafts faster and more uniform, leading to natural-looking results.

Shorter GGC triplet repeats in the androgen receptor gene are linked to less hair loss in Han men.

A 4-year-old had a rare type of hair loss that may have a good outcome.

Small molecules KY19382 and KY19334 may help treat skin cancer by reducing CDK1 levels and blocking harmful cell signals.

Unique microRNA patterns can help diagnose and treat severe alopecia areata.

Fewer GGC sequences in the androgen receptor gene improve finasteride treatment for hair loss.

A 6-group hair classification is more reliable for drug testing than an 8-group system.

miRNA-211 reduces melanin in Cashmere goats by suppressing AP1S2.

Machine learning can help find new ways to treat alopecia areata.

The Brigham Eyelash Tool for Alopecia (BELA) is a reliable way to measure eyelash loss in alopecia areata patients.

The fuzzy gene is crucial for controlling hair growth cycles.

The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.

A new gene causes hairlessness and skin cysts in rats.