February 2004 in “Dermatologic Surgery” Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension and minimal scarring.
July 2002 in “Dermatologic Surgery” Understanding the scalp's five-layer structure is crucial for better surgical outcomes and fewer complications.
September 2001 in “Dermatologic Surgery” Scalp surgery guidelines ensure best cosmetic results and fewer complications.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
New imaging tools help doctors better examine hair and scalp health without surgery.
1 citations,
November 2023 in “Indian Dermatology Online Journal” Primary essential CVG is a rare, benign scalp condition with treatment focusing on symptom management and hygiene.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
A hat with sensors can measure scalp moisture well, helping with hair care.
September 2024 in “Journal of the American Academy of Dermatology” Oxytocin receptors are found in skin cells near touch and pain neurons.
The model accurately classifies hair conditions with 97% accuracy.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
57 citations,
June 2021 in “Science” Women inventors focus more on women's health, but there are few of them.
51 citations,
April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
24 citations,
August 2020 in “JAMA dermatology” Persistent radiation-induced hair loss is dose-dependent, and treatments like topical minoxidil can be effective.
9 citations,
September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
9 citations,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
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.
4 citations,
August 2023 in “Materials” New synthetic polymers help improve skin wound healing and can be enhanced by adding natural materials and medicines.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
December 2023 in “The journal of physical chemistry. B (1997 : Online)” Human hair keratin might be good for filtering out harmful substances from water.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
September 2024 in “Heliyon” Repeated hair dyeing significantly damages hair.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
July 2024 in “International Journal of Molecular Sciences” The inhibitor DPP can promote hair growth.
August 2023 in “Clinical, Cosmetic and Investigational Dermatology” Research on the human skin microbiome has grown, focusing on skin health and diseases, with more studies needed on antibiotic resistance and AI applications.
April 2019 in “Journal of Investigative Dermatology” Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
90 citations,
January 1979 in “International review of cytology” Wool follicles are complex, involving interactions between different cell types and structures.
51 citations,
June 2021 in “Signal Transduction and Targeted Therapy” The document concludes that while there are promising methods to control CRISPR/Cas9 gene editing, more research is needed to overcome challenges related to safety and effectiveness for clinical use.