May 2021 in “Pakistan Journal of Medical and Health Sciences” M type hair loss is the most common in Pakistani men.
October 2024 in “Endocrinology Insights” The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
2 citations
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October 2023 in “Cancer Reports” Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
April 2026 in “Academic Dermatology” Current methods for grading hair loss from cancer treatment are not accurate enough and need improvement.
5 citations
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January 2016 in “Open Journal of Regenerative Medicine” Myoblast transplantation shows promise for treating various muscle and heart conditions.
January 2021 in “arXiv (Cornell University)” Self-supervised learning improves medical image classification accuracy.
April 2018 in “Journal of Investigative Dermatology” The conclusion introduces a new way to classify skin cysts using their shape and genetic markers.
The model accurately classifies hair conditions with 97% accuracy.
1 citations
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January 2014 in “Sen'i Gakkaishi” The new method reliably identifies and measures different animal hair fibers in textiles.
The new sensor can detect a toxic chemical in water with high sensitivity and accuracy.
16 citations
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June 2017 in “PLoS ONE” A 6-group hair classification is more reliable for drug testing than an 8-group system.
1 citations
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December 2023 in “Cutis” Toluidine blue helps accurately diagnose and treat certain skin tumors in surgery.
11 citations
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November 1991 in “Journal of Neuropathology & Experimental Neurology” Brindled mice show abnormal catecholamine neuron development due to copper deficiency.
January 2024 in “Brazilian Journal of Veterinary Pathology” The horse had a rare disease causing weight loss and skin issues, leading to euthanasia due to poor treatment options.
September 2023 in “Journal of the American Academy of Dermatology” Patients often overestimate their skin type, affecting sun protection and treatment plans.
An automated system can accurately classify hair disorders using image analysis.
7 citations
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January 2008 in “Indian Journal of Dermatology” Pigmentary mosaicism causes skin color changes and can affect multiple body systems, but has no cure.
May 2026 in “International Journal of Drug Delivery Technology” Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
25 citations
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May 2004 in “Prenatal Diagnosis” Prenatal genetic diagnosis may not predict MELAS syndrome severity in offspring.
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
October 2010 in “Reproductive Biomedicine Online” A new method can almost perfectly distinguish adenomyosis from similar conditions using blood tests.
4 citations
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August 2017 in “International journal of molecular sciences” The conclusion is that Pigmented Epithelioid Melanocytoma can start from hair follicle stem cells or from a mole on the skin.
4 citations
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January 2017 in “Ciência Rural” A horse in Brazil with skin and gut issues was diagnosed with a severe disease and had to be euthanized.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
1 citations
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December 2023 in “JAAD International” Mast cells may significantly contribute to central centrifugal cicatricial alopecia.
26 citations
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October 2007 in “American Journal of Dermatopathology” Basal cell carcinoma with matrical differentiation is a rare type linked to hair follicles, with .-catenin important for its development.
27 citations
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April 2017 in “European journal of endocrinology” The research found that MRI and certain hormone levels can help tell apart ovarian tumors from hyperthecosis in postmenopausal women, but tissue analysis is still needed for a definite diagnosis.
12 citations
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September 2024 in “Frontiers in Immunology” Mitochondrial genes help predict breast cancer outcomes and spread.
June 2010 in “Chinese Journal of Dermatology” A new gene mutation is linked to monilethrix in the studied family.