April 2013 in “The Journal of Urology” Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
13 citations
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April 2021 in “Value in Health” There is a significant need for better-validated quality of life tools in dermatology.
2 citations
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February 2021 in “International Journal of Environmental Research and Public Health” Women with PCOS tend to be less optimistic than those without it.
December 2022 in “The Aging Male” Lower 2D:4D ratio and older age increase the risk of severe hair loss in men.
7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
September 2016 in “Journal of Dermatological Science” Certain gene mutations in Japanese people are linked to different types of hair loss, with some causing mild hair thinning and others leading to complete baldness.
August 2016 in “Journal of Investigative Dermatology”
55 citations
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June 2007 in “Journal of Statistical Planning and Inference” The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
September 2025 in “Genes” Certain gene variations in Jiangnan cashmere goats are linked to important traits like birth weight and fiber quality, useful for breeding.
2 citations
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January 2025 in “Veterinary Dermatology” Male Pomeranians with woolly coats are more likely to develop alopecia X.
A high neutrophil-to-lymphocyte ratio may predict poor response to hair loss treatment.
AI can improve alopecia areata diagnosis with high accuracy.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
September 2023 in “Journal of the American Academy of Dermatology” The model can effectively identify good quality skin images but needs more testing for real-world use.
February 2025 in “Archives animal breeding/Archiv für Tierzucht” Certain gene combinations improve cashmere quality and production in Liaoning goats.
June 2021 in “Journal of The American Academy of Dermatology” New scale reliably assesses male hair loss with female pattern.
3 citations
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June 2016 in “Dermatology Reports” Finger length ratios don't predict baldness in men.
43 citations
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December 2020 in “PLOS Genetics” New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
The model accurately identifies hair diseases using deep learning.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
3 citations
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January 2013 in “Annals of Tropical Medicine and Public Health” About 15% of adolescent girls in a region of India have Polycystic Ovarian Syndrome, which is more common in those born by cesarean, with wisdom teeth, or with central obesity.
December 2023 in “International journal of statistics and probability” Blood type affects COVID-19 infection rates differently in Europe and Africa.
October 2008 in “Australasian Journal of Dermatology” Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.
The modified Sinclair scale effectively measures hair loss severity in men.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.