1 citations
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January 2026 in “Frontiers in Cell and Developmental Biology” AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
1 citations
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January 2017 in “Spectrum Research Repository (Concordia University)” Women with PCOS have altered brain structure and reduced cognitive performance.
Ca²⁺-mediated protein citrullination controls cell growth in the CNS and may help treat brain tumors.
Higher cannabis exposure may lead to increased hair loss.
Plakophilin 1 helps control skin cell immune responses to prevent excessive inflammation.
A machine-learning test using hair can help detect autism early in infants.
Blocking autophagy worsens lipid buildup and dysfunction in brain cells after injury.
The skin can still regenerate and function well even with fewer fibroblasts.
May 2025 in “Journal of Food and Nutrition Research” Black wolfberry ferment may help regrow hair in cases of androgenetic alopecia.
February 2024 in “PloS one” Nutraceuticals that promote hair growth do not reduce tamoxifen's effectiveness in breast cancer treatment.
October 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Early regulatory T cells are crucial for normal skin pigmentation.
November 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” Ezh2 controls skin development by balancing signals for dermal and epidermal growth.
November 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” Dermal EZH2 controls skin cell growth and differentiation in mice.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
1 citations
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October 2014 in “Skin Pharmacology and Physiology” People with alopecia areata have higher levels of osteopontin, which might be important in the disease's development, but this doesn't relate to how severe the disease is.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
September 2024 in “Journal of the American Academy of Dermatology” Dermatologists can detect smaller hair density changes than previously thought.
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.
February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
5 citations
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January 2018 The conclusion is that a new test was created to find substances that affect specific ion channels, and it works well for drug discovery.
1 citations
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
December 2023 in “Modern engineering and innovative technologies” January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
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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November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.