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Juggling the Various Facets of Modern Anatomic Pathology

Special Issue Information

Dear Colleagues,

Anatomic pathology has significantly evolved over the past several years. Indeed, although gross examination and microscopic evaluation of tissue specimens remain essential pillars of cancer diagnosis, modern anatomic pathologists have had to acquire novel skills to keep pace with the most recent advances in different fields. Modern anatomic pathology has undergone important technical innovations. A major innovation has been the implementation of molecular biology and digital pathology and the application of artificial intelligence algorithms. In addition, modern pathologists should promote professional adoption of social media to facilitate knowledge-sharing within the pathology community. The aim of this Special Issue is to present new results and advances regarding modern anatomic pathology. The editors hope that this collection of papers will provide a perspective on the evolution of anatomic pathology and modern pathologists.

Dr. Pasquale Pisapia
Prof. Dr. Giancarlo Troncone
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Molecular Pathology is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • molecular pathology
  • molecular techniques
  • modern pathology
  • digital pathology
  • artificial intelligence 
  • social media

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J. Mol. Pathol. - ISSN 2673-5261