April 2007 in “CRC Press eBooks” Certain vitamins in wrong amounts, alcohol abuse, metals, and other toxins can cause serious brain and nerve damage.
26 citations
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October 2020 in “Biomedicines” Bioengineered skin models help reduce animal testing and advance research in cosmetics and skin disease.
2 citations
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August 2023 in “Aesthetic Surgery Journal” RHA fillers are effective and safe for treating nasolabial folds in people of color.
October 2024 in “Cosmetics” PRP injections improved facial aesthetics in most women, but more research is needed.
December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
3 citations
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March 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
1 citations
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October 2025 in “Endocrinology and Metabolism” Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
3 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
September 2025 in “Bioengineering” The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
112 citations
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November 2023 in “Nano-Micro Letters” Nanozymes show promise for effective and safe cancer treatment.
January 2025 in “RSC Pharmaceutics” Smart microneedles using advanced tech could improve psoriasis treatment.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
3 citations
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January 2021 in “Journal of The American Academy of Dermatology” Different types of atopic dermatitis were linked to specific genetic and immune changes, suggesting that severe cases might need stronger immune-targeting treatments.
April 2025 in “Biomedical Journal of Scientific & Technical Research” Medical education should use creative and reflective methods to enhance empathy and critical thinking.
34 citations
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January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
2 citations
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September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
January 2026 in “Clinical Cosmetic and Investigational Dermatology” Polynucleotides show promise for improving skin conditions safely but need more research.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Recent selection on immune response genes was identified across seven ethnicities.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
1 citations
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July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
2 citations
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September 2024 in “Journal of intelligent medicine.” Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.
June 2022 in “Frontiers in Genetics” Machine learning is effective in predicting gene functions and their relationships with diseases.
1 citations
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September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
February 2026 in “Journal of Aesthetic Medicine” Combining different treatments like fillers, collagen stimulators, botulinum toxin, and energy devices gives better facial rejuvenation results.
82 citations
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September 2020 in “Briefings in Bioinformatics” SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.