11 citations
,
October 2020 in “Sensors” Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
24 citations
,
March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
2 citations
,
August 2019 in “Electronics and Communications in Japan” The device mimics human hair follicles and detects tiny forces and moments with high sensitivity.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
32 citations
,
April 2024 in “Nature Biotechnology” January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
1 citations
,
March 2017 in “Archives of Plastic Surgery” A new method using gentian violet dye makes it easier to see and work with white hair in hair transplant surgeries.
3 citations
,
January 2019 in “Electronic Imaging” The device accurately estimates natural hair color at the roots in real time.
172 citations
,
December 1994 in “The Journal of Dermatologic Surgery and Oncology” This hair transplant method improves cosmetic results for hair loss.
November 2025 in “Agriculture” Machine learning can effectively identify genes to improve wool quality in sheep.
1 citations
,
July 2024 in “Skin Research and Technology” High-frequency ultrasound can effectively visualize and assess hair loss.
December 2023 in “Modern engineering and innovative technologies” ChromaLens offers more precise and stable hair coloring than traditional methods.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
9 citations
,
April 2022 in “Cell Communication and Signaling” High S100A4 levels worsen glioblastoma by promoting blood vessel growth.
8 citations
,
May 2024 in “PLoS Biology” Gap junctions help control feather pattern formation in chickens.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The N-K GM Series offers a new method to reduce aflatoxin poisoning and cancer, improving health and saving costs in affected regions.
4 citations
,
March 2021 in “Postepy Dermatologii I Alergologii” High-frequency ultrasonography can be a useful tool for diagnosing different stages of alopecia areata, a type of hair loss.
1 citations
,
October 2025 in “International Journal of Molecular Sciences” Mutating the gmds gene in zebrafish increases hair cell numbers and regeneration.
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
24 citations
,
December 1957 in “Experimental Cell Research” The glassy layer of hair follicles has different fibril sizes and arrangements in guinea pigs and young mice.
December 2019 in “Periodicals of Engineering and Natural Sciences (International University of Sarajevo)” Machine learning can predict hair health accurately using personal data.
April 2025 in “Experimental Eye Research” The Oat mouse model shows mild retinal degeneration, useful for testing treatments.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
44 citations
,
October 2016 in “Epilepsia” 2-DG reduces seizures by enhancing brain inhibition through specific receptor activation.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
3 citations
,
October 2017 in “Journal of Cosmetic Dermatology” Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
A new image-based method improves accuracy in measuring hair loss in mice.
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.