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Hair loss reduces hair thickness and coverage, but drug treatments mainly revive dormant hairs rather than reverse thinning; patients often undervalue their hair loss severity.

Hair grows slower and thinner with age, but a test tonic improved growth in alopecia subjects.

Hair follicle stem cells change states with age, affecting hair growth and aging.

Ginkgo biloba has high genetic diversity, useful for future breeding.

Hair length in rabbits is linked to differences in lipid metabolism and cell death.

AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.

The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.

Different sheep breeds share similar genetic factors affecting wool fineness.

Human nails and hair follicles have similar gene activity, especially in the cells that contribute to their growth and development.

Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.

Interest in Acanthosis nigricans research is growing, highlighting key focus areas and influential work.

The simulation showed that hypobaric pressure improves drug delivery through the skin, but stretching alone doesn't fully explain the increase.

Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.

Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.

Arg1+ macrophages may play a role in Alopecia Areata, offering new treatment targets.

Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.

Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.

Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.

The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.

The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.

Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.

Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.

The new automatic tool accurately measures hair thickness and is reliable.

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

Three specific mutations in the LIPH gene can cause hair loss by damaging the protein's structure and function.

New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.

Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.

The study found key factors in the cause of hidradenitis suppurativa, its link to other diseases, and identified existing drugs that could potentially treat it.

The study found that baicalin has different stable shapes in gas and water, with two shapes better for interacting with positive charges in water.

Avacopan may cause unexpected side effects, so early monitoring is important.