June 2025 in “Pediatric Dermatology” Children's books on alopecia need more medical accuracy and diversity to better support affected kids.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
February 2024 in “arXiv (Cornell University)” Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
Doctors using Google during patient visits can enhance accuracy and outcomes if done transparently and inclusively.
November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
February 2020 in “Drug Analytical Research” Magistral pharmacies had issues with production quality and dosage accuracy.
January 2014 in “NDSU Repository (North Dakota State University)” The hair-pulling scale needs improvement for better accuracy and consistency.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
85 citations
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June 2015 in “Scientific Reports” The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
44 citations
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November 2018 in “Journal of applied ecology” Hair analysis for stress and reproductive hormones in wildlife needs more research for accuracy across species.
10 citations
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November 2018 in “Physiological Research” The conclusion is that standardizing testosterone measurement methods is essential for better diagnosis accuracy in women.
9 citations
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January 2025 in “Droplet” Precise cell manipulation technologies are advancing but still face challenges in improving accuracy for medical use.
8 citations
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January 2011 in “Collection of Czechoslovak Chemical Communications” Researchers developed a sensitive method to measure minoxidil in various products with high accuracy.
7 citations
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June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
5 citations
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May 2008 in “Nature Precedings” Trichoscopy is a useful non-invasive method to diagnose female hair loss with high accuracy.
5 citations
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May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The DWLSM provides detailed imaging of hair shafts and follicles with high accuracy.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
3 citations
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May 1985 in “Journal of The American Academy of Dermatology” The book "Dermatology" has useful content but some sections lack detail and accuracy; it's recommended for dermatologists to review before buying.
1 citations
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October 2010 in “Cambridge University Press eBooks” The document suggests new ways to assess and diagnose hyperandrogenism to improve accuracy.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
January 2026 in “Psychoneuroendocrinology” Self-collected hair samples can measure stress but may need adjustments for accuracy.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
October 2024 in “Российский физиологический журнал им И М Сеченова” Understanding barbering in lab rodents is important for animal welfare and research accuracy.
The new sensor can detect a toxic chemical in water with high sensitivity and accuracy.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.