Search

everythinglearnresearchcommunity

for

Search:↓

Alopecia areata may be linked to scalp microbiome differences, suggesting potential treatments with prebiotics, probiotics, and postbiotics.

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

iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.

The UD-PrOZA program successfully diagnosed 18% of adult patients with rare diseases, often using genetic testing.

New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.

LC-MS/MS is more reliable than immunoassays for diagnosing 21-hydroxylase deficiency.

The method accurately measures sex hormones in human plasma but can have small errors.

Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.

Thymic mesenchymal cells have unique gene expression that supports their specific functions in the thymus.

A new method can quickly and accurately measure tobacco exposure and stress using a small hair sample.

Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.

The new method improves protein extraction and analysis in hair, aiding biomedical and forensic work.

Adding a second method to PROTACs could improve cancer treatment.

Women with PCOS have different levels of certain fats and proteins in their blood, which could help diagnose the condition.

Hair and nail proteins, mainly keratins, are crucial for structure and can indicate health issues.

New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.

A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.

The study developed a method to analyze ancient hair proteins using very small samples.

A new method accurately measures long-term steroid levels in human hair.

The conclusion suggests that treatments targeting root causes of chronic diseases may be developed by focusing on gene expression and lifestyle factors.

Matrix effects in LC-MS can be managed but not completely avoided.

Scalp psoriasis inflammation is mainly caused by bacteria-related triggers.

Endoscopic imaging can improve tracking of stem cells in the body.

Understanding genetic variations in mice is crucial for studying skin, hair, or nail abnormalities.

A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.

A new method was developed to accurately detect and measure 47 different drug ingredients in various products.

Genetic profiling can improve androgenetic alopecia treatment by predicting drug response and minimizing side effects.

Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.