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Longer CAG and GGN repeats increase alopecia risk, but no significant link to post-finasteride syndrome found.

Indian Hedgehog helps control skin cell growth and protects against aggressive skin cancer.

Finasteride can treat hair loss, but may have side effects; evaluate and inform patients of risks.

Genomic approach finds new possible treatments for hair loss.

Targeting immune tolerance issues in Alopecia Areata could restore hair growth and maintain remission.

Found different proteins in balding and non-balding cells, giving insight into hair loss causes.

Hair analysis can show nutritional status and environmental exposure, with phosphorus being very stable in hair and differences found based on gender and conditions like depression and autism.

Finasteride use can cause lasting negative effects like sexual dysfunction, depression, anxiety, and cognitive issues.

Certain genetic variants in the androgen receptor are linked to higher PSA levels, potentially affecting prostate cancer screening outcomes.

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Finasteride affects SRD5A2 gene pattern, possibly causing lasting side effects.

Finasteride can cause lasting sexual dysfunction, depression, and other side effects, needing more research for treatment.

Chinese medicine may help hair growth and reduce hair loss in androgenetic alopecia.

Using special RNA to target a mutant gene fixed hair problems in mice.

Environmental factors like diet and vitamin levels, especially Vitamin D, can affect autoimmune diseases differently, with lifestyle changes potentially improving outcomes.

Model improves accuracy in predicting hair loss effects.

DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.

Eating healthy, exercising, and changing behaviors are the best first steps to treat Polycystic Ovary Syndrome (PCOS).

Diagnosing Polycystic Ovary Syndrome is hard due to varying symptoms, no set criteria, and the need for better tests and education.

Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.

The document concludes that various findings in rheumatology offer insights into disease severity, treatment responses, and potential risks in medication, with some limitations due to unspecified participant numbers.

Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.

The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.

The authors suggest using a standard system to name hair grafts to improve communication in hair restoration.

Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.

Tadalafil is effective for treating urinary symptoms in men with BPH.

Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.

Heredity and hormones cause common hair loss, and topical minoxidil is the first recommended treatment.

Get head MRI for babies with achondroplasia early, use free immunoglobulin light chains to detect certain neurodevelopmental disorders, and video calls work for speech therapy in patients with facial anomalies.

Early treatment of PCOS in teens is crucial to prevent long-term health issues like diabetes and heart disease.