Search

everythinglearnresearchcommunity

for

Search:↓

The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.

The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.

Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.

Dermatologists help detect gender-based violence by identifying skin signs of abuse.

Doxorubicin causes heart damage, so early detection and monitoring are important during chemotherapy.

The new method improves skin cancer detection in imbalanced datasets.

The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.

The Facial Psoriasis Log-based Area and Severity Index is a more effective way to measure improvements in facial psoriasis than the traditional method.

Combining multiple algorithms predicts hair fall more accurately than using single algorithms.

Researchers developed a reliable method to measure testosterone and epitestosterone in urine for medical and anti-doping use.

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

LC-MS/MS is essential for accurately detecting pregnanes in pregnant mares.

The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.

Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.

The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.

Researchers developed a new method to identify animal hair in textiles, which is effective for various fibers and more reliable than previous methods.

Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.

AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.

The research identified 12 antioxidant compounds in Polygonum multiflorum roots, suggesting these as quality markers for the plant's processed roots.

Engineered skin tissue is a promising tool for safer cosmetic testing.

A new tool can analyze hair to detect changes due to hormones, genetics, and aging.

Early detection and prevention of suicide risk in teens is crucial, involving healthcare awareness, family support, and cross-sector collaboration.

Rats have different touch receptors in their paws that help with movement and handling objects.

γδ T cells help control tissue scarring and blood vessel growth in response to foreign objects.

AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.

A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.

Human stem cells can aid stroke recovery, research experiences boost students' career aspirations, minoxidil may reduce cancer spread, a molecule can slow tumor growth, a protein affects water flow in cells, magnesium behaves differently at tiny scales, and a new method detects slow-moving objects.

Early detection and multidisciplinary management of skin and mouth side effects from breast cancer treatments improve patient outcomes.

Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.

3D models from confocal microscopy improve melanoma detection on sun-damaged skin.