Search

everythinglearnresearchcommunity

for

Search:↓

Using SNP array testing helped quickly find the gene causing Woodhouse-Sakati syndrome in two related individuals.

CCCA causes progressive hair loss in Black women, starting from a central scalp patch.

A proposed robotic system could make hair harvesting for baldness treatment faster and more precise.

The technique effectively repairs skin after tumor removal, maintaining appearance and function without complications.

Trichoscopy is a useful and affordable tool for diagnosing Alopecia areata.

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

A new method accurately measures college students' mental health by considering time perception and clustering techniques.

Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.

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

A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.

The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.

The C-CAT tool helps assess and improve treatment for central centrifugal cicatricial alopecia.

Certain herbal combinations in traditional Chinese medicine might be effective for treating hair loss, focusing on liver or stomach health.

Obese children respond worse to CARP treatment than non-obese children.

Robotic surgery and artificial hearts are revolutionizing cardiac surgery.

The new image descriptor helps identify skin cancer structures with good accuracy.

Most patients with Central Centrifugal Cicatricial Alopecia at the reviewed institution were middle-aged Black women, often with no symptoms, and commonly treated with topical medications.

Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.

ALUDWIG can help standardize female hair loss assessment from a single image.

A new method accurately classifies hair types, showing global hair diversity.

Dermoscopy helps dermatologists diagnose different types of hair loss accurately without always needing a biopsy.

Detecting early breast arterial calcifications can help assess cardiovascular disease risk.

Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.

Collider bias can mislead our understanding of COVID-19 risk and severity.

AI can accurately measure hair loss severity in alopecia areata.

Hair shaft changes may be linked to CCCA, but their role is unclear.

The tool accurately tracks eyebrow hair loss in chemotherapy patients.

A new hair transplant method creates one appealing scar, uses donor hair better, and speeds up surgery.