3 citations
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September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
January 2025 in “Science World Journal” Male and female scalp hair differ in size, density, length, curliness, pigmentation, and cuticle preservation.
October 2023 in “Asian journal of pharmaceutical and clinical research” Standardized data is essential for diagnosing scalp and hair conditions in males.
The data suggests that dosing differences can help manage spasticity in patients with upper motor neuron dysfunction.
53 citations
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October 2018 in “Aesthetic Surgery Journal” Google Trends data on facial cosmetic procedures matches actual surgery numbers, showing it can help plastic surgeons understand public interest.
1 citations
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November 2012 in “European Journal of Cell Biology” The authors clarified data overlap and corrected a figure error, apologizing for any confusion.
October 2025 in “Communications Medicine” Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
February 2024 in “arXiv (Cornell University)” Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
18 citations
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June 2019 in “Twin research and human genetics” The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.
14 citations
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June 2020 in “Journal of the American Academy of Dermatology” Global collaboration in dermatology improved data sharing and patient care during COVID-19.
January 2024 in “European journal of endocrinology” The article was retracted due to data integrity issues.
June 2023 in “Dermatology and therapy” The Middle East and Africa need better data, treatment consensus, and support for Alopecia Areata.
August 2016 in “Organic Process Research & Development” Authors retracted paper due to errors in data and mislabeling.
68 citations
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January 2007 in “Journal of Cosmetic and Laser Therapy” Laser/light treatments for hair loss are popular but lack scientific data proving effectiveness.
64 citations
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October 2018 in “Thérapie” Enriching the French health care database with external data greatly improved its usefulness.
19 citations
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July 2006 in “Acta crystallographica” Errors found in identifying furosemide and finasteride polymorphs due to incomplete data.
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.
May 2026 in “International Journal of Drug Delivery Technology” Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
A rapid screening method using trichoscopy and clinical data can improve diagnosis and treatment of tinea capitis.
March 2024 in “Birth defects research” The commentary stresses the importance of using historical control data and proper interpretation in evaluating developmental toxicity.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
January 2023 in “Journal of The American Society of Nephrology” Metatrials could improve clinical research in nephrology by speeding up data collection and overcoming challenges like patient recruitment.
September 2018 in “Value in Health” Orphan drug benefit scores in Germany are influenced by phase III data and lack of alternatives, but not linked to price or discounts.
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
January 2011 in “Rutgers University Community Repository (Rutgers University)” A new method organizes drug information to improve data use and create a comprehensive drug database.