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Testosterone and dihydrotestosterone have similar effects on body composition and metabolic health in men.

A patient with Werner syndrome showed a range of aging-like symptoms and metabolic issues, underscoring the need for early detection and treatment.

Covid-19 can cause skin and oral symptoms, like taste changes, which help in detection and management.

Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.

Boosting mitochondrial energy production with supplements like acetyl-L-carnitine may improve aging-related cellular function and health conditions.

Identifying and manipulating key genes can improve wool quality and productivity in sheep.

Portable point-of-care testing can improve quick and accurate genetic disorder detection.

Large data can lead to new medical discoveries and personalized medicine.

Single-cell transcriptomics reveals detailed cellular diversity and key pathways in tissue regeneration.

The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.

Proteomics combined with other technologies can lead to a better understanding of skin diseases.

Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.

Hair follicles and urine cell pellets are promising for transcriptome studies.

Multi-omics techniques help understand the molecular causes of androgenetic alopecia.

Forensic genetics can now predict physical traits and lifestyle habits, with future advancements expected from new technologies.

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

Ulcerative colitis involves immune activation, chronic inflammation, and metabolic issues, some of which persist even during remission.

MicroRNAs could help assess and manage multiple chronic diseases.

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

Integrating biological networks improves drug repurposing and ADR prediction.

The analysis of a large pilomatricoma revealed five distinct areas with different gene activity related to hair growth and tumor development.

Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.

Your skin is like an ecosystem, with its own community of microbes and substances that interact and affect its health.

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

DNA microarrays help study skin diseases and biology, leading to advancements in understanding and treatment.

Researchers developed a cost-effective 66 K SNP chip for cashmere goats that is accurate and useful for genetic studies.

scINSIGHT accurately identifies cell clusters and gene patterns in complex data.