1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
January 2026 in “Dermatologic Therapy” Female pattern hair loss can signal hormone issues and should be part of health checks for personalized treatment.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
April 2026 in “Dermatology and Therapy” Experts agree on understanding hair aging to improve diagnosis and treatments.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
15 citations
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November 2024 in “EClinicalMedicine” The roadmap calls for better research and funding to improve PCOS diagnosis, treatment, and health outcomes.
4 citations
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November 2017 in “Scientific Reports” The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
May 2026 in “Frontiers in Immunology” Extracellular vesicles can both worsen and potentially treat atopic dermatitis.
April 2026 in “Beni-Suef University Journal of Basic and Applied Sciences” Precision medicine is crucial for early diagnosis and personalized treatment in prediabetes.
March 2024 in “Current issues in molecular biology” Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
June 2026 in “World Journal of Clinical Pediatrics” Early diagnosis and tailored treatment improve outcomes for non-nutritional rickets.
June 2026 in “Drug Design Development and Therapy” Peptides show promise for diagnosing and treating pancreatic cancer with high precision and low side effects.
July 2026 in “Diagnostics” Integrating various skin imaging technologies improves diagnosis and treatment in dermatology.
1 citations
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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.
39 citations
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February 2024 in “Small” Microneedles are becoming essential tools in medicine for sensing, drug delivery, and communication.
17 citations
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May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
1 citations
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August 2025 in “Medicina” Non-invasive imaging techniques improve scalp condition diagnosis and patient quality of life.
March 2026 in “Journal of the European Academy of Dermatology and Venereology” Exosomes show promise in dermatology but need more research and FDA approval for clinical use.
1 citations
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August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
March 2026 in “Saudi Journal of Pathology and Microbiology” Personalized genomic interventions can effectively manage chronic hair loss.
December 2024 in “Archiv Euromedica” Early diagnosis and personalized treatment are crucial for managing PCOS and preventing complications.
Genetic testing can help diagnose skin conditions but needs more research for full effectiveness.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
1 citations
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July 2025 in “MedComm – Biomaterials and Applications” Microneedles show promise for cancer diagnosis and treatment due to their minimally invasive nature and effective drug delivery.
December 2025 in “ADMET & DMPK” Personalized treatments for hair loss focus on specific genetic and biological pathways.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
The model accurately identifies hair diseases using deep learning.
January 2026 in “Nanoscale Advances” Microneedles combined with light therapy can improve skin disease diagnosis and treatment.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.