January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
March 2015 in “Journal of Visualized Experiments” A new method measures mouse hair loss using shades of gray.
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.
1 citations
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June 2011 in “Journal of Genetics” Some human genetic markers work for genetic studies in pig-tailed and stump-tailed macaques, which can help in their conservation.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
7 citations
,
August 2023 in “Therapeutic Innovation & Regulatory Science” A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
1 citations
,
July 2025 in “Science & Education” The framework helps people evaluate scientific information for specific needs.
January 2023 in “Türkiye klinikleri adli tıp ve adli bilimler dergisi” DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
1 citations
,
September 2021 in “Physiology News” The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.
16 citations
,
October 2012 in “The Journal of Dermatology” The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
September 2024 in “Frontiers in Genetics” A specific genetic marker is linked to male pattern baldness in Han Chinese men.
24 citations
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March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
1 citations
,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
7 citations
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June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
15 citations
,
May 2009 in “Chemical Physics Letters” A new method accurately measures molecular movement without complex modeling.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
December 2025 in “International Journal of Surgery” GBP1 is a key target for treating Epstein-Barr virus-related kidney cancer, and finasteride may help.
158 citations
,
January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
January 2026 in “AppliedMath” Pattern mode isolation improves the reliability and predictability of Turing patterns.
7 citations
,
March 2024 in “Scientific Reports” The neighborhood face index (NFI) accurately predicts properties of complex molecules.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
April 2026 in “Scientific Reports” The tool accurately tracks eyebrow hair loss in chemotherapy patients.
4 citations
,
August 2019 in “Journal of Dermatology” The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
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
,
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” scINSIGHT helps understand single-cell gene expression better than current methods.
32 citations
,
December 2004 in “BMC Public Health” Men can report their own balding patterns well enough for large health studies.
71 genetic markers explain 38% of male-pattern baldness risk.