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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.

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

New treatments for atopic dermatitis and alopecia areata have been developed using a targeted approach.

Transplanted bone marrow cells actively move, form clusters, and grow after transplantation.

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

Epristeride's metabolism in zebrafish helps improve doping detection methods.

The new method accurately detects illegal hair-growth drugs in dietary supplements.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Atopic dermatitis shows a link between skin layers in inflammation, detectable with detailed gene analysis.

Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.

Method detects finasteride in plasma and semen with high sensitivity and accuracy.

LA-ICP-MS effectively measures zinc, lead, and mercury in hair.

Plucked human hair can be used to study drug effects on certain cell markers.

A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.

Both HPSAM and PLS methods accurately measure minoxidil and tretinoin concentrations.

About 21% of tested hair loss supplements contained illegal synthetic drugs.

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

Gene expression in hair follicles can help diagnose methamphetamine use disorder.

Aptamers can improve wound healing and promote hair growth.

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

Co5M offers a new way to observe and understand wound healing without labels.

Some blood donors on teratogenic drugs may have unsafe drug levels, suggesting a need for better deferral policies.

Long COVID patients have more health issues than non-infected people.

Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.

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.

Scientists at the University of Michigan Medical School successfully created a special compound that can be used to improve imaging of prostate cancer.

Researchers found a specific immune receptor in patients that causes severe skin reactions to a drug.

The method visualized calcium ions in damaged canine skin, showing potential for studying skin recovery.

Hair root sheaths can be used to accurately analyze genetic markers.