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June 2018 in “Journal of Cosmetic Dermatology” The new A-design punch for hair restoration surgery may lead to smaller scars compared to other types.
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January 2008 in “Food Science and Technology Research” Mature leaves of 'Saijo' persimmon have the most vitamin C and both mature leaves and new shoots are rich in polyphenols.
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November 2023 in “Journal of Computer Science and Engineering (JCSE)” The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
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May 2016 in “International Journal of Research in Ayurveda and Pharmacy” Ayurveda, using herbs like ginger, garlic, and turmeric, can reduce chemo-radiotherapy side effects in cancer patients.
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May 1999 in “Dermatologic Surgery” Dr. Connelly agrees that linear basal cell carcinomas might be more aggressive but highlights the study's lack of clear criteria to identify them.
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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September 2023 in “Aging” Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
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September 2022 in “Jelenkori Társadalmi és Gazdasági Folyamatok” Collaborative robots in industry need to meet safety and legal standards.
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April 2022 in “PLoS ONE” Vibration treatment may reduce migraine pain by changing cell structures.
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December 2019 in “Textile Research Journal” L-cysteine and ultrasound successfully improved rabbit hair fibers for industrial use.
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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.
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March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
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February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
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February 2023 in “Frontiers in Endocrinology” Childhood growth hormone deficiency can be accurately diagnosed using gene expression data and random forest analysis.
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September 2020 in “Prometheus” Over-reliance on automation limits human problem-solving in emergencies.
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January 2017 in “Journal of Aesthetic & Reconstructive Surgery” Combining FUT and FUE hair transplant methods in one session provides more grafts and higher patient satisfaction.
Technology enhances human design thinking, creating new possibilities.
Technology expands design thinking possibilities, requiring a hybrid, reflective approach.
March 2026 in “Aesthetic Plastic Surgery” AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
June 2025 in “Jurnal Bumigora Information Technology (BITe)” Naive Bayes algorithm can help predict hair loss risk early.
March 2025 in “Journal of Neonatal Surgery” Robotic surgery and AI improve precision and recovery in medicine but face cost and training challenges.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
July 2024 in “Frontiers in Microbiology” Data-driven methods can help understand microbiota's role in diseases and develop personalized treatments.
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
November 2023 in “Borneo Journal of Pharmacy” Sappan wood hair tonic helps protect and repair damaged hair.
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.