Digital Pathology. Role of molecular diagnostics in cancers; multiple immunohistochemistry

Multiplexed platforms have become a standard feature of modern medicine in the field of histopathology in recent years. They have evolved into powerful technologies that enable image analysis of tumor tissues from formalin- fixed paraffin- embedded specimens, aiming for better assessment of morphology and distinctive alterations at the molecular level of the patient’s sample, which is critical for the pathologist’s diagnosis and classification, with significant implications for the following therapeutic options. And also, in order to gain a better understanding of the tumor microenvironment, which aids cancer prevention by simulating new therapy discoveries. And unlike traditional IHC, which can only identify one marker in a tissue sample, multiplex IHC may detect many markers in a single tissue sample while providing detailed information about the cell composition and spatial arrangement. Reviewing multiplexed technologies is to demonstrate their utility in the study of cancer tissue as well as their benefits for applications in cancer diagnosis, stratifying patients, and accuracy for treatment. Summary: Digital pathology plays a significant part in current clinical practice and becoming an increasingly critical technological necessity in the laboratory environment, Algorithms for image analysis and artificial intelligence have the potential to further increase the quality of diagnostics in pathology.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15274709
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Digital Pathology. Role of molecular diagnostics in cancers; multiple immunohistochemistry

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Digital Pathology. Role of molecular diagnostics in cancers; multiple immunohistochemistry

article en

Abstract

Multiplexed platforms have become a standard feature of modern medicine in the field of histopathology in recent years. They have evolved into powerful technologies that enable image analysis of tumor tissues from formalin- fixed paraffin- embedded specimens, aiming for better assessment of morphology and distinctive alterations at the molecular level of the patient’s sample, which is critical for the pathologist’s diagnosis and classification, with significant implications for the following therapeutic options. And also, in order to gain a better understanding of the tumor microenvironment, which aids cancer prevention by simulating new therapy discoveries. And unlike traditional IHC, which can only identify one marker in a tissue sample, multiplex IHC may detect many markers in a single tissue sample while providing detailed information about the cell composition and spatial arrangement. Reviewing multiplexed technologies is to demonstrate their utility in the study of cancer tissue as well as their benefits for applications in cancer diagnosis, stratifying patients, and accuracy for treatment. Summary: Digital pathology plays a significant part in current clinical practice and becoming an increasingly critical technological necessity in the laboratory environment, Algorithms for image analysis and artificial intelligence have the potential to further increase the quality of diagnostics in pathology.

Zenodo (CERN European Organization for Nuclear Research)
Libyan Academy (LY)
Openalex Percentile: Top 75%
AI in cancer detection
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Digital Pathology. Role of molecular diagnostics in cancers; multiple immunohistochemistry · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS