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Minoxidil, a hair loss treatment, works better and has fewer side effects when put into tiny particles called transethosomes, especially those containing oleic acid.

Transfer learning with three neural network architectures accurately classifies hair diseases.

Stem cells are in deep skin layers, while differentiating cells are in shallow layers.

Herbal ingredients like betel leaves, fenugreek, and coconut oil can improve hair health and promote growth.

Herbal ingredients like betel leaves, fenugreek, and coconut oil can improve hair health and promote growth.

PLGA nanospheres in cosmetics improve skin and hair treatment effectiveness.

OTEC power output is higher in summer due to greater temperature differences.

Particles similar in size to hair cells penetrate hair follicles better.

The new wound dressing helps heal burn wounds and regrow hair by releasing beneficial ions.

Resveratrol-loaded nanoparticles show promise for lung cancer treatment.

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

Adding obesity data to machine learning models improves heart disease prediction accuracy.

The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.

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

Effective pre- and post-operative care is crucial for better outcomes in sleeve gastrectomy patients.

Adding de-epithelialization to the follicular isolation technique improves hair transplant results for eyebrows and eyelashes.

The new method improves skin cancer detection in imbalanced datasets.

Liposomes and iontophoresis effectively deliver protective enzymes into the skin against UV damage.

Scientists developed a way to isolate sweat glands from the scalp during hair transplants, keeping them alive for 6 days for research and cosmetic uses.

Deep skin fibroblasts help recruit immune cells for better wound healing.

CD19-CAR T cell therapy may help regenerate skin in systemic sclerosis.

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

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

AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.

Using gelatin sponges for deep skin wounds helps bone marrow cells repair tissue without scarring.

VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.

Activated carbon fibers from Metaplexis japonica seed hair are highly effective for removing the dye methylene blue from water.

Local injections of nanosized rhEPO can speed up skin healing and improve quality after deep second-degree burns.

Cavity macrophages gather on organ surfaces but don't really invade or help repair the organs after injury.

Algal oligosaccharides help prevent hair loss and promote hair growth.