April 2025 in “Tropical Journal of Natural Product Research” The optimized Moringa seed oil nanoemulsion may help with hair growth.
February 2025 in “Jurnal Kesehatan Bakti Tunas Husada Jurnal Ilmu-ilmu Keperawatan Analis Kesehatan dan Farmasi” Nanostructured Lipid Carriers can improve curcumin's effectiveness for treating hair loss.
December 2024 in “International Journal of Newgen Research in Pharmacy & Healthcare” Eclipta alba phytosomes improve bioavailability and therapeutic effects.
December 2024 in “Tropical Journal of Natural Product Research” The developed carrier may improve hair growth treatments using brown algae extract.
June 2024 in “Pharmacon Jurnal Farmasi Indonesia” A 1:3 ratio of virgin coconut oil to candlenut oil is best for promoting hair growth.
January 2022 in “DOAJ (DOAJ: Directory of Open Access Journals)” Argan oil-based nano carriers could potentially deliver caffeine to hair follicles to treat hair loss.
August 2019 in “RIUnB Institutional Repository (University of Brasília)” Polymeric nanoparticles with dutasteride may effectively treat hair loss by targeting hair follicles.
February 2023 in “Journal of Microencapsulation” The finasteride nanosystem with trehalose is stable and effective for topical hair loss treatment.
Optimized carriers effectively deliver Finasteride for hair loss treatment.
November 2019 in “Journal of Vertebrate Biology” QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
1 citations
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November 2023 in “Research Square (Research Square)” DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
A new image-based method improves accuracy in measuring hair loss in mice.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
6 citations
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May 2022 in “Pharmaceutics” Zinc pyrithione dissolves quickly on the skin and in hair follicles, especially in smaller particles.
5 citations
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January 2018 in “Skin Research and Technology” TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
April 2023 in “Journal of Investigative Dermatology” A new image-based method improves accuracy in measuring hair loss in mice.
December 2023 in “Modern engineering and innovative technologies” ChromaLens offers more precise and stable hair coloring than traditional methods.
6 citations
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August 2016 in “Journal of Visualized Experiments” The CUBIC protocol allows detailed 3D visualization of proteins in mouse skin biopsies.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
21 citations
,
January 2010 in “International Journal of Trichology” TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
10 citations
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January 2020 in “Royal Society Open Science” A new automated method accurately measures hair damage using microscopic images.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
2 citations
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August 2006 in “Journal of Dermatological Science” Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
An automated system can accurately classify hair disorders using image analysis.
40 citations
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April 2006 in “Journal of the European Academy of Dermatology and Venereology” The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.