October 2022 in “Hair Transplantation” Digital imaging tools help accurately assess hair transplant candidates.
7 citations
,
February 2020 in “Analytical and Bioanalytical Chemistry” 110 citations
,
February 2024 in “Journal of Chemical Information and Modeling” PandaOmics uses AI to find new disease treatment targets and biomarkers.
10 citations
,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
5 citations
,
January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
January 2024 in “Biochemistry Research International” Compounds from Ziziphus spina-christi roots show strong antibacterial and antioxidant potential.
111 citations
,
February 2017 in “Antiviral research” Researchers found several compounds that could potentially treat Zika virus.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
3 citations
,
April 2025 in “Nature Communications” GIANT improves brain imaging by using genetics to better map brain regions.
50 citations
,
December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
7 citations
,
June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
42 citations
,
January 2011 in “Journal of Biomedical Optics” Infrared and Raman imaging can non-destructively analyze hair structure and help diagnose hair conditions.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The package offers tools for exploring potential miRNA changes in female hair loss.
11 citations
,
May 2016 in “PubMed” New imaging and testing methods can effectively assess hair shape changes and damage.
1 citations
,
October 2024 in “Dermatology Practical & Conceptual” Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
29 citations
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March 2008 in “Dermatologic Surgery” The Cross-section Trichometer is a new tool that can measure hair quantity and detect hair loss and growth.
January 2026 in “Open MIND” Targeting the PIEZO1 and MLCK axis may offer a new treatment for hair loss.
4 citations
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November 2020 in “Journal of Investigative Dermatology Symposium Proceedings” The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
2 citations
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July 2008 in “Dermatologic Surgery” The Cross-section Trichometer is a promising tool for measuring hair characteristics without cutting the hair and may have various clinical uses.
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
July 2025 in “Indian Journal of Forensic Medicine & Toxicology” DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
13 citations
,
January 2012 in “Dermatologic surgery” The trichometer is a quick and reliable tool for measuring hair quantity.
6 citations
,
November 2022 in “Journal of Tissue Engineering and Regenerative Medicine” Zebularine improved skin structure but delayed wound healing in diabetic mice.
28 citations
,
December 2002 in “Der Hautarzt” TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.
12 citations
,
August 2001 in “PubMed” CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
1 citations
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November 2001 in “Acc Current Journal Review” Electron Beam Tomography (EBT) is a useful additional test to stress testing for detecting heart disease.