The robotic system for hair restoration surgery works well, giving similar results to manual techniques after 9 months.
66 citations
,
May 2012 in “Scientific Reports” Scientists successfully created and transplanted bioengineered hair follicles that function like natural ones, suggesting a new treatment for hair loss.
10 citations
,
August 2022 in “Bulletin of Mathematical Biology” Boundary conditions change how patterns form in Turing systems.
January 2026 in “Journal of Clinical Medicine” Robotic technology in plastic surgery shows promise but needs more research and cost reduction for wider use.
3 citations
,
October 2022 in “Nano Letters” Machine learning identified promising nanozymes for treating hair loss.
1 citations
,
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Melanocyte-associated antigens may play a key role in alopecia areata and could be targets for new treatments.
26 citations
,
September 2010 in “Experimental Dermatology” Two gene areas linked to male pattern baldness found, more research needed.
November 2022 in “Journal of Investigative Dermatology” Human-induced stem cell-created skin models can help understand skin diseases by studying the skin's layers.
215 citations
,
November 2000 in “Journal of Investigative Dermatology” The system allows precise control of gene expression in mouse skin, useful for studying skin biology.
5 citations
,
June 2022 in “Biophysical Journal” TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
30 citations
,
January 1994 Strain H61 may reduce some ageing symptoms like bone loss and hair loss.
1 citations
,
August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The "Danti Original Source" method can reverse androgenetic alopecia.
July 2025 in “Journal of Investigative Dermatology” The new anti-aging ingredient improves skin hydration, elasticity, and reduces wrinkles.
8 citations
,
October 2022 in “International Journal of Molecular Sciences” Self-amplifying RNA could be a better option for protein replacement therapy with lower doses and lasting effects, but delivering it into cells is still challenging.
2 citations
,
May 2019 in “BioTechniques” Industry 4.0 is transforming labs with new tools, making research more efficient and environmentally friendly.
April 2024 in “Pharmacoepidemiology and drug safety (Print)” The algorithm accurately identified alopecia in women of childbearing age using claims data.
19 citations
,
November 2018 in “Experimental Dermatology” The spiny mouse can regenerate its skin without scarring, which could help us learn how to heal human skin better.
January 2022 in “Turkiye Klinikleri Journal of Dermatology” The Turkish version of the MAIA-2 Scale is valid and reliable for patients at a dermatology clinic.
10 citations
,
January 1996 The document's conclusion cannot be determined as the content is not accessible or understandable.
December 2019 in “Periodicals of Engineering and Natural Sciences (International University of Sarajevo)” Machine learning can predict hair health accurately using personal data.
December 2010 in “Cancer Prevention Research” Presurgical models can effectively and affordably screen cancer prevention agents.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
January 2026 in “SSRN Electronic Journal” 86 citations
,
January 2020 in “British Journal of Dermatology” The AA-IGA scale reliably measures treatment success in alopecia areata by considering both clinician and patient views.
13 citations
,
March 2020 in “Frontiers in cell and developmental biology” A substance called TCQA could potentially darken hair by activating certain genes and increasing melanin.
9 citations
,
February 2023 The model accurately detects alopecia areata with 84.3% accuracy.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
3 citations
,
November 2023 in “Journal of Computer Science and Engineering (JCSE)” The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
July 2024 in “International Journal of Medical Science and Clinical Research Studies” Alopecia Areata Incognita causes sudden hair loss in young females but usually has a better outcome than other types.