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The SLICK1 allele in Holstein heifers affects hair and immune traits without altering prolactin signaling.

Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.

The model accurately diagnoses hair diseases with 95% accuracy using deep learning.

Lipid-polymer hybrid nanoparticles show promise for skin treatments but need better formulation strategies.

LPAR6 has a unique way of binding and activating, which helps in designing treatments for hair loss and cancer.

LiPADI is a useful tool for monitoring the severity and treatment of lichen planus.

Stem cells in mouse nails are found in the nail matrix and may control nail growth.

Lymphatic vessels are essential for hair follicle growth and skin regeneration.

TP0427736 may help treat hair loss by blocking a specific protein and promoting hair growth.

Ligustrum lucidum may boost hair growth by maintaining key growth factors.

A levered nail trimmer can improve comfort and wellness, especially for those with baldness.

Artificial neural networks can accurately diagnose Alopecia Areata.

Deep learning can improve non-invasive alopecia diagnosis using hair images.

Non-coding RNAs help control hair growth in cashmere goats.

LC-OCT helps accurately diagnose different types of infant hair loss without invasive methods.

Lupeol shows promise for hair growth but needs better absorption and safety testing.

Decreasing MIG6 can increase the movement and invasiveness of MEK-inhibited mutant NRAS melanoma, particularly when stimulated by EGF.

Microneedles with minoxidil and nitric oxide improve hair growth effectively and painlessly.

The new treatment using tiny lipid carriers to deliver minoxidil and latanoprost directly to hair follicles shows promise for alopecia.

ASLNC168501 may help treat hair loss by boosting hair follicle stem cell activity.

The antibody 005-C04 blocks prolactin receptors, causing reversible infertility, impaired lactation, and hair regrowth in female mice.

Lactobacillus plantarum-fermented plant extracts promote hair growth and thickness.

TLR-targeted therapies show promise in cancer treatment by helping destroy tumors.

Machine learning can predict how well patients with alopecia areata will respond to certain treatments.

Neutrophils quickly respond to skin injury.

GFRα2 is essential for controlling neuron size but not for target innervation in certain sensory neurons.

Low-Level Laser Therapy significantly improves hair density in women with hormonally and age-related hair loss.

Low-level light therapy can promote hair growth by stimulating cell interactions in hair follicles.

GoogLeNet is the best model for identifying folliculitis.