5 citations
,
May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The DWLSM provides detailed imaging of hair shafts and follicles with high accuracy.
January 2017 in “British journal of dermatology/British journal of dermatology, Supplement”
May 2025 in “The Journal of Rheumatology” Mixed Connective Tissue Disease can develop from overlapping symptoms of several autoimmune diseases, making diagnosis complex.
3 citations
,
May 1963 in “Radiology” Thallium poisoning can be identified through radiological signs and treated effectively with B.A.L.
A man with four autoimmune diseases suggests a new category for multiple autoimmune syndrome.
April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
1 citations
,
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” LC-OCT can help diagnose different types of scarring alopecia.
9 citations
,
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.
1 citations
,
April 2024 in “Dermatology Practical & Conceptual” November 2025 in “Journal of Investigative Dermatology” IMG-007 helps regrow hair and reduce scalp inflammation in severe alopecia areata.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
December 2023 in “Clinical, cosmetic and investigational dermatology” The new method combining dermoscopy and Reflectance Confocal Microscopy is more effective for evaluating vitiligo.
January 2025 in “Journal of Imaging Informatics in Medicine” 25 citations
,
May 2004 in “Prenatal Diagnosis” Prenatal genetic diagnosis may not predict MELAS syndrome severity in offspring.
11 citations
,
February 1982 in “Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis” A new method can detect mutations in mice by observing changes in hair follicle cells.
January 2011 in “Junshi yixue” A mouse model for studying scleroderma in chronic graft-versus-host disease was successfully created.
11 citations
,
December 2015 in “Indian journal of dermatology, venereology, and leprology” Dermoscopy quickly and accurately diagnosed a rare hair disorder in a 12-year-old girl.
29 citations
,
November 2014 in “Experimental Dermatology” Injecting alpha-melanocyte-stimulating hormone in mice improved skin healing and reduced scarring.
No single biomarker is reliable enough for diagnosing and assessing SLE.
1 citations
,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
Live imaging helps us understand skin immune responses and develop treatments.
5 citations
,
October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
March 2005 in “Journal of the American Academy of Dermatology” Recognizing minor skin lesions can help identify serious cancer syndromes.
February 2025 in “Journal of the European Academy of Dermatology and Venereology” Mogamulizumab can cause hair loss, often linked to a better treatment response.
3 citations
,
August 2024 in “Skin Research and Technology” LC-OCT can help identify lupus-related scarring hair loss by spotting unique features.
4 citations
,
December 2023 in “Medicine” Lower levels of MYLK and CALD1 in bladder cancer and osteosarcoma are linked to worse survival rates.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
April 2026 in “Scientific Reports” The tool accurately tracks eyebrow hair loss in chemotherapy patients.
4 citations
,
April 2020 in “Dermatology practical & conceptual” Reflectance confocal microscopy is useful for diagnosing and monitoring skin diseases, but it has limitations and requires expertise for correct use.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.