Search

everythinglearnresearchcommunity

for

Search:↓

The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.

Deep learning effectively diagnoses scalp disorders, but improvements are needed.

Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.

Inflammatory diets may increase the risk and severity of alopecia areata.

Machine learning can predict stress-related hair loss and suggest prevention tips.

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

Machine learning can effectively predict type 2 diabetes risk.

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.

The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.

The method effectively grouped tweets into categories without knowing the number of groups beforehand.

The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.

The compound (NH4)2Mn0.17Cu0.83Cl4.2H₂O has a specific structure, shows weak magnetism at low temperatures, and undergoes phase changes at high temperatures.

Human hair has a new region with ordered filaments and the cuticle contains β-keratin sheets.

Iron deficiency is linked to hair loss in adolescents, especially females, in northern Sudan.

Androgens in female meerkats influence aggression and dominance, affecting social dynamics and offspring behavior.

Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.

Feather patterns in birds are shaped by signaling interactions and cell movements, with EDA/EDAR crucial for pattern formation.

A machine learning model can predict alopecia areata early using specific gene markers.

Yak hair follicles adapt to cold through specific gene regulation, enhancing cell growth.

Newly born mesenchymal cells quickly spread out in response to tissue tension during early development.

Two main types of fibroblasts with unique functions and additional subtypes were identified in human skin.

Stem cells help remove dead cells to keep tissues healthy by balancing cell replacement and clearance.

Blue-light activation of TrkA improves hair-follicle stem cells' ability to become neurons and glial cells.

Sun-exposed skin shows different cell activity and gene expression, suggesting targets to prevent skin aging and cancer.

Darker hair colors may increase the risk of alopecia areata, while lighter hair colors may decrease it.

The study found that nerve signals are stronger when there are more connection points, but not necessarily denser, along the nerve's path in the spine.

PmtHEE is a better model for studying pigmented skin because it includes melanocytes and shows improved cell differentiation.

The new method removes hair from skin images quickly and accurately to help identify skin lesions better.

The Scalp Coverage Scoring method reliably measures hair density from images.