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Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.

Eight blood metabolites are linked to causing allergic conjunctivitis, offering new ways to predict and treat it.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

Genomic approach finds new possible treatments for hair loss.

Method measures tamsulosin and finasteride in medicine accurately.

High-frequency ultrasound can effectively visualize and assess hair loss.

BioPlex-11 improves DNA profiling from telogen hair roots in forensic work.

Google should ban ads targeting cancer patients with sensitive health-related keywords to protect them from misleading information.

Transepidermal drug delivery effectively treated areata alopecia with minimal side effects.

The new method can measure sleep-related hormones in hair effectively and could help track long-term sleep patterns.

A new method organizes drug information to improve data use and create a comprehensive drug database.

Targeting specific metabolic and ionic pathways may improve alopecia areata treatment.

A new method was created to measure metformin in hair, showing potential for monitoring treatment and medical investigations.

Colorectal cancer cells can adapt without losing their traits or drug sensitivity.

Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.

Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.

The TrichoScan method effectively measures hair growth and helps choose patients for hair restoration surgery.

Genetic profiling can improve androgenetic alopecia treatment by predicting drug response and minimizing side effects.

The procedure accurately measures 5-alpha-dihydrotestosterone in blood, useful for standard tests.

The N-K GM Series offers highly selective, eco-friendly antimicrobials free for everyone.

New method measures finasteride in blood quickly and accurately.

The conclusion is that certain traits, including perceived facial aging and BMI, are linked to how youthful people look, with some differences between males and females.

iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.

The conclusion is that a new method can measure caffeine and drugs in hair, finding caffeine abusers have 70 times more caffeine than normal, with a proposed cut-off value for abuse.

LC-MS/MS is more reliable than immunoassays for diagnosing 21-hydroxylase deficiency.

HAC and BAC improve skin targeting and reduce diffusion without causing irritation.

New methods efficiently isolate dermal papilla cells from hair follicles, preserving their characteristics better than traditional methods.

Some people have a genetic variation that makes them less effective at breaking down drugs.