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Scientists have developed a new method to detect steroid abuse in athletes using cell-based tests, which could be the future of anti-doping methods.

Skin changes in obesity can indicate metabolic issues but aren't reliable for assessing risk or monitoring treatment.

The study found two new mutations in a Chinese patient with severe biotinidase deficiency.

The research updated the skin cell profile, finding new skin cell markers and showing fibroblasts' key role in skin health.

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

Certain skin symptoms can indicate underlying body-wide illnesses.

RNA from horse hair follicles can track circadian rhythms non-invasively.

QMSI effectively maps and quantifies drug distribution in skin tissues.

The document concludes that better biomarkers are needed to detect long-term oral testosterone use in athletes.

Chemical fingerprints can distinguish Eclipta prostrata from Wedelia calendulacea to prevent confusion and adulteration.

Scientists made antibodies to tell cashmere and wool apart, which could improve how we identify animal fibers.

Microextraction techniques improve hormone testing while being environmentally friendly.

Hair analysis can effectively detect diabetes and aging markers.

Bioinspired polymers are promising for advanced medical treatments and tissue repair.

Four specific genes are linked to keloid formation and could be potential treatment targets.

Common gene patterns may cause skin autoimmune diseases.

Custom skincare can be made based on genes, fewer cats in Lublin have FeLV/FIV than national average, and studies also looked at small water bodies, river pollution, guppy growth, toxins in biochars, palm oil issues, and pumpkin seed oil for hair strength.

Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.

Genetic markers can help predict ear shapes for forensic use.

Smad2/3-dependent TGF-β signaling increases during wound healing.

Hair analysis can effectively assess nutritional status.

scINSIGHT helps understand single-cell gene expression better than current methods.

Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.

Hair growth pathways are a promising and simpler method for detecting chronic stress.

Combining biochemical, immune, and mechanical signals can improve skin regeneration.

New biomarkers and potential treatments for skin diseases were identified.

Certain skin symptoms can help detect and manage systemic lupus.

Trichoscopy can help diagnose and assess disease activity in connective tissue diseases by identifying specific hair and scalp signs.