Higher cannabis exposure may lead to increased hair loss.
Higher cannabis use may be linked to more severe hair loss.
42 citations
,
January 2011 in “Journal of Biomedical Optics” Infrared and Raman imaging can non-destructively analyze hair structure and help diagnose hair conditions.
1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
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.
January 2018 in “Springer eBooks” Gender affects hair and scalp characteristics, with differences in hormone responses, graying patterns, and trace metals.
2 citations
,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
180 citations
,
February 2023 in “Journal of Chemical Information and Modeling” Chemistry42 effectively creates and optimizes new molecules for drug discovery.
3 citations
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August 2024 in “Applied Sciences” A web platform was created to help diagnose scalp conditions accurately and easily.
1 citations
,
November 2024 VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
8 citations
,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
3 citations
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July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
March 2025 in “Journal of the American Academy of Dermatology” Dutasteride and finasteride do not increase mood disorder risk in men with hair loss.
April 2024 in “American Journal of Biological Anthropology” Hair traits vary widely and are not reliable indicators of ancestry.
1 citations
,
January 2026 in “GigaScience” Cell Journey is a tool for better 3D visualization of cell changes over time.
5 citations
,
March 2024 in “Frontiers in Bioengineering and Biotechnology” A detailed 3D model of human skin was created to help develop artificial skin.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
3 citations
,
February 2022 in “Frontiers in Genetics” The LncRNA AC010789.1 slows down hair loss by promoting hair follicle growth and interacting with miR-21 and the Wnt/β-catenin pathway.
The microenvironment affects the behavior and survival of melanocytes with the GNAQ oncogene in melanoma.
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
15 citations
,
January 2024 in “The AAPS Journal” 50-mg ritlecitinib capsules are bioequivalent to 100-mg capsules.
May 2024 in “Plant and Soil” Root hairs in maize grow mainly in air-filled pores, limiting their role in nutrient uptake and plant anchorage.
3 citations
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September 2020 in “Molecular Brain” The anti-viral drug Elvitegravir may protect brain cells from damage related to neurodegenerative diseases.
October 2025 in “International Journal of Cell and Biomedical Science” hUC-MSC secretome can help regrow hair in cases of hair loss.
6 citations
,
April 2021 in “Scientific Reports” Phytochrome A is crucial for normal metabolism and development in tomato seedlings under far-red light.
4 citations
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February 2025 in “BMC Genomics” Black wool in Qira sheep is linked to specific gene mutations, especially in the TYRP1 gene.