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Male mice are more susceptible to autism-like changes from valproic acid than female mice.

Iris germanica rhizome-derived exosomes help protect skin cells from oxidative stress and aging.

AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.

An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.

The robotic system for hair restoration surgery works well, giving similar results to manual techniques after 9 months.

The MDhair app accurately assesses hair loss severity with 94% accuracy.

Kang-ai injection with platinum-based chemotherapy improves tumor response and immune function while reducing side effects in advanced lung cancer.

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

A new pain-measuring system using sensors and AI can effectively detect pain in mice, which may help assess pain in humans and develop treatments.

The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.

New skin imaging, teledermatology, and AI could become key in future dermatology care.

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

The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.

AI can predict hair loss patterns to improve care and treatment.

Research on the human skin microbiome has grown, focusing on skin health and diseases, with more studies needed on antibiotic resistance and AI applications.

AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.

The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.

AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.

AI-assisted surgical robots improve surgery precision and safety.

The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.

A new AI-driven method shows promise for treating hair loss with a peptide-based drug.

Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

The document highlights advancements and findings in dermatology, including AI use, disease prevention, treatment efficacy, and the impact of conditions on patients' lives.

Acne inversa is an epithelial-driven disease where inflammation is caused by cyst rupture, and treatments should focus on preventing tendril growth for better results.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.

Innovative methods are reducing animal testing and improving biomedical research.

The metaverse offers potential for managing hair and nail disorders but faces challenges like technology limits and accessibility.