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The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.

Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.

A reliable method was developed to measure Finasteride and Tadalafil together, showing they degrade under certain conditions.

Desmopressin-loaded liposomes can effectively deliver drugs through the skin, improving bioavailability and patient compliance.

PEGL-DOX causes Hand-Foot Syndrome due to skin reactions from prolonged circulation and ROS generation.

Drugs localize differently in hair strands based on their properties.

Toxic Shock Syndrome cases increased due to new factors, but decreased with public health measures and changes in tampon use.

Reconstructed skin models are useful for studying how skin processes certain chemicals.

A new method accurately measures DHEAS in blood, improving on current tests.

The models can help find better inhibitors for conditions like baldness and prostate disorders.

Toxic epidermal necrolysis is a severe skin condition often caused by drugs, with complex treatment and a high risk of death, but survivors usually heal without scars.

Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.

Technological advancements and standardization are crucial for improving diagnostic accuracy and laboratory efficiency.

The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.

Ingesting minoxidil can cause severe health issues, requiring urgent medical treatment.

DHA-NLC may improve drug delivery and reduce side effects for cancer treatment.

Adapalene microemulsions improve drug delivery through hair follicles, enhancing acne treatment.

DOPE:DOPC liposomes can improve targeted cancer drug delivery, reducing side effects and increasing effectiveness.

Arsenic trioxide effectively treats APL, improving survival rates despite its toxicity.

The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.

The method effectively measures drug impact on DHT levels in prostate treatments.

Objective assessment is needed to accurately determine medication use and adherence.

Certain groups of medications given when leaving the hospital are linked to a higher risk of negative drug reactions within 30 days, especially in older adults with respiratory issues.

After chemotherapy for early breast cancer, 33.4% of patients had long-term significant hair loss, with some hair regrowth over time, but treatments for hair loss were largely ineffective.

Anticancer drugs are increasingly found in surface waters, and their long-term environmental effects are not well understood, requiring better testing methods.

Docetaxel is effective against various cancers but mainly causes neutropenia.

Tridax procumbens plant parts boost immune response in mice.

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