3 citations
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
40 citations
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April 2008 in “European journal of endocrinology” Metformin and rosiglitazone both improved insulin use and hormonal symptoms in women with PCOS.
Moles may stop growing because of cell cooperation, not just because of aging cells.
Moles may stop growing due to cell cooperation, not just because of individual cell aging.
5 citations
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January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
January 2026 in “Frontiers in Drug Discovery” Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.
February 2025 in “Journal of Investigative Dermatology” The ZIP13 variant is linked to abnormal hair quality.
March 2024 in “European Journal of Neuroscience” Dopaminergic neurons in the gut have diverse subtypes with different neurotransmitter contents.
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
1 citations
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October 2023 Syntax-based neural networks can match Transformers in handling unseen sentences.
16 citations
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October 2017 in “Journal of steroid biochemistry and molecular biology/The Journal of steroid biochemistry and molecular biology” Dutasteride may protect the brain in early Parkinson's disease.
3 citations
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January 2018 in “International Journal of Cosmetic Science” Hair stiffness increased by 13.2% after caffeine treatment, validating the Stiffness-Angle Law as an effective measurement method.
April 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” Neoplasms hide in hair follicles to avoid the immune system.
4 citations
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May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” AI can accurately diagnose hair and scalp conditions and suggest treatments.
Adipocytes in atopic dermatitis skin change and worsen inflammation and fibrosis.
November 2025 in “Communications Materials” Pomelo peel can be turned into materials that help stop bleeding and heal wounds better than commercial dressings.
5 citations
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May 2020 in “Life science alliance” Removing integrin α3β1 from hair stem cells lowers skin tumor growth by affecting CCN2 protein levels.
March 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” Suppressing very long chain fatty acids is linked to skin cancer.
1 citations
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October 2025 in “Journal of Visualized Experiments” The method creates skin organoids with hair follicles for research on skin conditions and treatments.
M-CSF-stimulated myeloid cells can turn into skin cells and help heal wounds and regrow hair.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
June 2024 in “International journal of biological macromolecules” The hydrogel effectively stops bleeding and heals diabetic wounds quickly.
July 2025 in “ACS Applied Materials & Interfaces” Ultrasound-activated gel with stem cell vesicles improves skin healing and regeneration.
Problems with arginine processing in hair follicles might contribute to common hair loss, and arginine supplements could help treat it.
82 citations
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March 2016 in “Autoimmunity reviews” Animal models have helped understand hair loss from alopecia areata and find new treatments.
13 citations
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June 2007 in “Journal of Dermatological Science” Researchers created a cell line to study hair growth and found specific genes affected by dihydrotestosterone.
1 citations
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March 2021 in “Skin health and disease” Better hair loss models needed for research.
69 citations
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September 1991 in “Journal of Surgical Research” Understanding how fetal wounds heal could help improve healing in adults.
22 citations
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February 2002 in “Journal of theoretical biology” The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.