April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
13 citations
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August 2018 in “Life sciences” Kang-ai injection with platinum-based chemotherapy improves tumor response and immune function while reducing side effects in advanced lung cancer.
July 2024 in “Journal of Investigative Dermatology” 8 citations
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September 2023 in “International Journal of Nanomedicine” A new lab-grown lung model helps study adenoviruses and test antiviral drugs.
1 citations
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December 2022 in “Bioactive Materials” The microneedle patch with quercetin, zinc, and copper effectively promotes hair regrowth for androgenic alopecia.
19 citations
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October 2024 in “BMC Medical Informatics and Decision Making” AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
January 2025 in “Pharmaceuticals” Peptide-based hydrogels are promising for healing chronic wounds effectively.
May 2026 in “International Journal of Technology in Education and Science” The AI system accurately classifies hair loss types and explains its decisions.
2 citations
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July 2023 in “Life” COVID-19 can cause temporary hair loss, which is commonly reversible with treatment.
7 citations
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March 2025 in “Aesthetic Plastic Surgery”
May 2026 in “Journal of Clinical Medicine” COVID-19 can cause long-lasting non-respiratory symptoms, especially in women.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
February 2025 in “PubMed” AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
November 2025 in “Indian Journal of Dermatology” Home-based dermatology devices offer convenient and affordable skincare but require careful use due to potential risks.
Exosome therapies improve skin, hair, and healing but face challenges like cost and regulation.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
51 citations
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April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
December 2025 in “ADMET & DMPK” Personalized treatments for hair loss focus on specific genetic and biological pathways.
13 citations
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September 2022 in “Materials & design” The new patch for treating mouth sores releases medicine slowly, sticks well, and helps healing without the side effects of current creams.
January 2025 in “Advances in Clinical Medicine” Fractional CO2 laser therapy effectively improves skin conditions and recovery when combined with other treatments.
February 2026 in “Expert Review of Endocrinology & Metabolism” Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Natural hair oils are beneficial for hair care, but future use must balance effectiveness, safety, and sustainability.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Natural hair oils are effective for nourishing and protecting hair, with future focus on safety and sustainability.
December 2025 in “International Journal of Innovative Technologies in Social Science” New treatments for androgenetic alopecia show promise but need more research for validation.
1 citations
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April 2023 in “International Journal of Molecular Sciences” New CRISPR/Cas9 variants and nanotechnology-based delivery methods are improving cancer treatment, but choosing the best variant and overcoming certain limitations remain challenges.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.