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The study concluded that Acral lick dermatitis is most common in young male Labrador retrievers, often caused by psychological factors, and leads to skin inflammation and stress-related blood changes.

A new method allows detailed, continuous imaging of crustacean leg regeneration without harming the cells.

Nanozymes show promise for effective and safe cancer treatment.

ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.

The new method improves skin cancer detection in imbalanced datasets.

The review suggests that there are various treatments to help restore skin color after severe burns.

Early treatment of superficial fungal infections in immunocompromised patients is crucial.

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

An 80-year-old man's deep beard infection was cured with oral terbinafine after identifying the fungus Trichophyton verrucosum.

The model accurately detects alopecia areata with 84.3% accuracy.

Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.

The new model improves Alopecia Areata classification accuracy to 93.1%.

Certain immune cells worsen post-surgery gut paralysis by activating a specific immune response.

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

Nanofat injections before hair transplantation improve eyebrow restoration in burn scars.

AI can accurately diagnose and assess alopecia areata using scalp images.

Deep eutectic solvents are eco-friendly and effective for extracting useful pharmaceutical compounds.

AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.

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

VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.

A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.

Deep learning can effectively detect hair and scalp diseases early.

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

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

Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension, leading to better healing and less scarring.

A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.

The system effectively detects scalp diseases and classifies hair fall stages with high precision.

A new dissolving microneedle system effectively delivers minoxidil for hair regrowth with minimal side effects.

A special solvent helps hydroxytyrosol penetrate skin better, promoting hair growth.

A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.