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This study presented a new algorithm and camera-based system that successfully reconstruct high-quality, 3D representations of facial hair and underlying skin surfaces even in dense regions like eyebrows.

This study suggests a possible link between late puberty onset and decreased prostate cancer risk, while over-the-counter ibuprofen use was associated with increased risk.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This study found that self-supervised pretraining significantly improves accuracy in medical image classifiers for dermatology and chest X-ray tasks, outperforming supervised baselines and showing robustness to distribution shifts with limited labeled data.

This study explores the complex mechanisms of skin aging, including cellular senescence and disrupted communication, and highlights rejuvenation strategies like gene expression rewiring and microbiome modulation, offering potential frameworks for regenerative therapies and precise interventions in skin and systemic aging.