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The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

The research identified various cell types in mouse and human teeth, which could help in developing dental regenerative treatments.

Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.

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

NAC1 controls certain enzymes that reduce root hair growth in Arabidopsis.

Different types of inactive melanocyte stem cells exist with unique characteristics and potential to develop into other cells.

Immune cells are essential for early hair and skin development and healing.

Eclipta alba shows promise for treating various health issues and needs more research.

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

Piezoelectric Nanogenerators are promising for non-invasive health monitoring but need efficiency and durability improvements.

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.

Human foreskin does not show aging or reduced cell growth after radiation, and H2A.J is not a good marker for radiation-induced aging.

Fusarium sp. strain K-23 helps Arabidopsis plants grow better in salty soil by promoting root hair growth.

Different types of resting melanocyte stem cells have unique characteristics and vary in their potential to become other cells.

The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.

Stem-cell therapy shows promise for skin conditions but needs more research.