Literature DB >> 27714915

Classifying skin diseases: Until where should we go?

Sélim Aractingi1.   

Abstract

New molecular mapping techniques appear to allow clinicians to design treatments in some cases of resisting cancers. Such sensitive analysis were already able to depict molecular pathways of several inflammatory skin diseases. An accompanying article by Garzorz-Stark et al. show how these tools could improve the classification of skin inflammatory diseases now based on clinical and pathological features. At last, the final aim of these tools is to predict treatment response in a patient. The utility of "precision" or personalized medicine in cutaneous inflammatory diseases could join the furrow drawn in cancer.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  classification; genome mapping

Mesh:

Year:  2017        PMID: 27714915     DOI: 10.1111/exd.13230

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  2 in total

1.  Prediction of skin disease using a new cytological taxonomy based on cytology and pathology with deep residual learning method.

Authors:  Jin Bu; Yu Lin; Li-Qiong Qing; Gang Hu; Pei Jiang; Hai-Feng Hu; Er-Xia Shen
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

2.  Deep Learning Approaches for Prognosis of Automated Skin Disease.

Authors:  Pravin R Kshirsagar; Hariprasath Manoharan; S Shitharth; Abdulrhman M Alshareef; Nabeel Albishry; Praveen Kumar Balachandran
Journal:  Life (Basel)       Date:  2022-03-15
  2 in total

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