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Common acne treatments can cause various side effects, like skin irritation and more serious issues, but combination therapies are often more effective and better tolerated.

A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.

Exposure to Corexit dispersants during the oil spill cleanup was linked to increased respiratory and eye irritation symptoms in workers.

The COVID-19 pandemic led to fewer dermatology visits and changed the types of skin conditions patients experienced.

Hair loss in certain young mice is linked to a specific gene and can be caused by lack of iron.

Women with polycystic ovary syndrome have a higher risk of certain fractures.

Irregular menstrual cycles in teenagers are linked to a higher risk of polycystic ovary syndrome and metabolic syndrome.

The study could not confirm if Victor Vinnetou was Mbuyisa Makhubu and suggested more evidence, like DNA tests, is needed.

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.

More profitable TV stations have stricter ad approval rules, and bigger stations are generally stricter too.

Triptorelin helps evaluate hormone production in Sertoli-Leydig cell tumors.

Indian women with PCOS may need different ultrasound criteria for diagnosis than current standards.

Dutasteride reduces hospitalization and prostate cancer risk compared to finasteride, potentially offsetting its higher cost.

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.

Hairless mammals have genetic changes in both their protein-coding and regulatory sequences related to hair.

Most adrenal cortex tumors are benign and non-secreting, but proper diagnosis and treatment are important due to the rare possibility of cancer.

Clinicians should use social and prescription data to track trends in performance-enhancing drug use.

Syntax-based neural networks can match Transformers in handling unseen sentences.

The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.

Pica disorder in central Iraq is mainly found in females and is linked to low iron levels; treatment with iron improves most patients.

The mesenchyme can start hair growth, but the exact signal that causes this is still unknown.

Pre-trained Transformers need extreme retraining to perform well on DarkNet data.

Keratin-associated proteins have ancient origins and were used for different purposes before being adapted for hair in mammals.

The congress showed advancements in skin hydration, barrier function, and safe, effective new cosmetic formulations.

The document concludes that accurate diagnosis of male and female gonadal disorders is crucial for effective treatment and better patient outcomes.

Kidney transplant patients who had COVID-19 experienced a significant drop in their quality of life due to long-lasting symptoms.

Different hair types in mammals are linked to variations in specific protein genes, with changes influenced by their living environments.

The study created a 27-item measure to assess the impact of skin diseases.

People with reproductive, thyroid disorders, and type 2 diabetes can experience voice changes, but more research is needed to understand this better.

Dermatologists found teledermatology useful and confidence-boosting for diagnosing skin conditions, but faced limitations like technical issues and prescription restrictions. Despite this, they saw its potential to improve access to skin care, especially in remote areas.