June 2020 in “Applied sciences” A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
January 2011 in “Web journal anti-aging medicine/Anti-aging medicine” KGS1 tablets improved skin and hair health.
December 1989 in “The Journal of Dermatologic Surgery and Oncology” New techniques and findings in dermatologic surgery show improved pain management, safer liposuction, better hair transplantation, and effective treatments for skin conditions.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
23 citations,
October 2021 in “Cell Stem Cell” Hair thinning causes stem cell loss through a process involving Piezo1, calcium, and TNF-α.
9 citations,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
3 citations,
October 2022 in “Clinical, Cosmetic and Investigational Dermatology” The 532 nm laser effectively reduces facial vascular and pigmented lesions, with the VISIA system reliably assessing treatment results.
3 citations,
December 2021 in “Skin research and technology” Higher hair luminosity and shine mean higher perceived transparency.
3 citations,
September 2014 in “SpringerPlus” Human hair loss may have evolved to help increase brain size.
2 citations,
January 2023 in “Scientific Reports” HIF-1α is important for hair growth and could be a treatment target for hair loss.
1 citations,
September 2022 in “The journal of investigative dermatology/Journal of investigative dermatology” MicroRNA-148a is crucial for maintaining healthy skin and hair growth by affecting stem cell functions.
1 citations,
July 2012 in “ACM transactions on graphics” The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
April 2024 in “International journal of molecular sciences” Light-based treatment, Photobiomodulation, shows promise for non-invasive skin therapy with few side effects.
March 2024 in “Clinical, cosmetic and investigational dermatology” Skin Radiance Collagen improved skin and hair health in adult females.
February 2024 in “Cosmetics” The conclusion is that new plant-based treatments for hair loss may work by targeting certain enzymes.
November 2023 in “Computational and Structural Biotechnology Journal” A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.
October 2023 in “Scientific Reports” Oxytocin may help hair grow by increasing hair growth-related genes and factors.
October 2023 in “Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy” New, eco-friendly methods accurately measure TDF and FNS in a new urologic medication.
August 2023 in “Scientia Pharmaceutica” Color changes in Minoxidil hair products do not affect their effectiveness.
September 2022 in “Cosmetics” January 2021 in “Annals of translational medicine” YH0618 helped reduce skin and nail problems and fatigue in chemotherapy patients.
April 2020 in “International Journal of Research in Dermatology” Scalp skin conditions are more common in young adults and teenagers, especially males, with itching being the main complaint. The most common conditions are psoriasis and alopecia areata, and these can significantly affect a person's social life due to their psychological impact.
January 2020 in “Egyptian Journal of Dermatology and Venereology” People with alopecia have shorter hair follicles and more c-kit, a stem cell factor receptor, which could predict how the condition progresses.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.