7 citations
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June 2021 in “Amino acids” Human hair protein modifications could potentially indicate heart disease risk.
1 citations
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December 2018 in “IntechOpen eBooks” Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.
July 2024 in “Journal of Education For Sustainable Innovation” Visualizing data helps guide future androgenetic alopecia research and policies.
June 2024 in “World Journal of Management Science” Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
June 2024 in “Computational and Structural Biotechnology Journal” Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
5 citations
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October 2014 in “Methods” The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
January 2011 in “Healthcare Informatics Research” Hair loss is significantly linked to symptoms like dry hair, scalp issues, addiction to tobacco or coffee, anxiety, and digestive problems.
33 citations
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August 2024 in “Frontiers in Drug Discovery” Drug repurposing is a faster, cheaper way to develop new treatments using existing drugs.
1 citations
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November 2016 in “Congenital Anomalies” Get head MRI for babies with achondroplasia early, use free immunoglobulin light chains to detect certain neurodevelopmental disorders, and video calls work for speech therapy in patients with facial anomalies.
11 citations
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April 2023 in “Frontiers in Pharmacology” Integrating biological networks improves drug repurposing and ADR prediction.
7 citations
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February 2023 in “Exploration of Medicine” Drug repurposing offers promising strategies to improve tuberculosis treatment despite challenges.
11 citations
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April 2013 in “Journal of Proteomics” Found different proteins in balding and non-balding cells, giving insight into hair loss causes.
September 2025 in “Animal Bioscience” Key genes and pathways affect wool fiber thickness, improving wool quality.
July 2024 in “Frontiers in Microbiology” Data-driven methods can help understand microbiota's role in diseases and develop personalized treatments.
6 citations
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April 2021 in “Scientific Reports” Phytochrome A is crucial for normal metabolism and development in tomato seedlings under far-red light.
158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
39 citations
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December 2018 in “Methods in molecular biology” The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
21 citations
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January 2005 in “Pediatric Dermatology” An 8-year-old girl with vitiligo developed extra hair growth on her knee after using tacrolimus ointment.
January 2025 in “PROTEOMICS” Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
3 citations
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October 2022 in “Frontiers in Surgery” Proteomics combined with other technologies can lead to a better understanding of skin diseases.
November 2025 in “Psychoneuroendocrinology” Hair proteomics could be a useful, non-invasive tool for identifying stress-related disorders.
1 citations
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February 2023 in “Pharmaceutics” Cell proteomic footprinting enhances cancer vaccine quality by ensuring correct antigen composition.
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
2 citations
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January 2019 in “Medizinische Genetik” The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
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.
3 citations
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June 2017 in “Methods” Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
1 citations
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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.
1 citations
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December 2016 Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.