December 2022 in “Research Square (Research Square)” This study discusses the development of deep learning models for diagnosing skin disorders and notes challenges such as lack of data for darker skin tones, without providing new clinical results.
January 2005 in “Chinese Journal of Aesthetic Medicine” This study found that hair transplantation using micrografts and minigrafts achieved high patient satisfaction and a graft survival rate of about 90% for different types of hair loss.
This study introduced a deep learning framework combining multiple convolutional neural networks to detect scalp and hair disorders and classify hair fall stages, reporting higher precision and robustness in detection and classification compared to individual CNN models.
September 2025 in “Frontiers in Genetics” This study developed a non-invasive, partially automated protocol for extracting high-quality DNA from hair follicles of marmosets, significantly reducing chimerism rates compared to blood, and proving reliable for whole genome sequencing in low-input DNA scenarios.
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November 2019 in “Current Opinion in Systems Biology” This review discusses how recent studies use models and experiments to understand immune system signaling, but it reports no new clinical findings; the authors suggest strategies for improving these models.
