Collection
Precision Pathology: A New Frontier for Diagnostic Pathology
- Submission status
- Open
- Open for submission from
- 08 March 2024
- Submission deadline
- Ongoing
In recent years, the field of pathology has undergone a remarkable transformation, driven by advancements in technologies and our growing understanding of diseases at a molecular level. One such technology is digital pathology which enables the digitization of histopathology slides, creating vast repositories of digital images that can be analysed, shared, and utilised for research, education and diagnostic purposes. Advanced image analysis algorithms and machine learning techniques are being employed to extract valuable information from these images, aiding pathologists in making more accurate and efficient diagnoses.
Precision pathology represents a shift in the way we diagnose, classify, and treat diseases. A key area of focus in precision pathology, is the utility of digital pathology and artificial intelligence as well as integration of genomic information into diagnostic and treatment decisions. By analysing the DNA and RNA profiles of tumours, researchers can identify specific genetic mutations, gene expression patterns, and molecular signatures that guide personalised treatment strategies. This can be effectively combined with AI-powered algorithms to create a “PRECISE” pathology diagnosis leading to customized treatments for individual patients, these insights allow for targeted therapies, resulting in better patient outcomes and reduced side effects.
This collection of articles aims to explore the exciting developments and opportunities that precision pathology brings to the forefront of healthcare. It will delve into topics such as genomics, proteomics, and computational-enabled precise pathology diagnostics, which are revolutionizing the way we analyse and interpret pathology specimens and data.
We hope that the articles featured in this collection will not only deepen your understanding of precision pathology but also inspire further research and collaboration, propelling us toward a future where personalized and targeted medicine becomes the standard of care.
Articles (7 in this collection)
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Expression and clinical significance of CLDN7 and its immune-related cells in breast cancer
Authors (first, second and last of 7)
- Xiaojie Fan
- Aifeng Qi
- Yueping Liu
- Content type: Research
- Open Access
- Published: 22 August 2024
- Article: 113
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Clinicopathological and genetic characterization of radiotherapy-induced undifferentiated pleomorphic sarcoma following breast cancer: a case series of three tumors and comprehensive literature review
Authors (first, second and last of 10)
- Ting Lei
- Zhiyi Shen
- Qing Li
- Content type: Research
- Open Access
- Published: 15 August 2024
- Article: 110
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Integrating bioinformatics and machine learning methods to analyze diagnostic biomarkers for HBV-induced hepatocellular carcinoma
Authors (first, second and last of 6)
- Anyin Yang
- Jianping Liu
- Lianping Wu
- Content type: Research
- Open Access
- Published: 02 August 2024
- Article: 105
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Elucidating the nature of acinic cell carcinoma of the breast with high-grade morphology: evidence from case report
Authors (first, second and last of 5)
- Yunjie Ge
- Xianping Wei
- Hongwen Gao
- Content type: Case Report
- Open Access
- Published: 24 July 2024
- Article: 100
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EBV-positive small cell neuroendocrine carcinoma of nasopharynx as a probably unique subtype of neuroendocrine carcinoma: a clinicopathologic study of three cases and literature review
Authors (first, second and last of 10)
- Ying Chen
- Ning Zhou
- Deyu Guo
- Content type: Research
- Open Access
- Published: 24 July 2024
- Article: 101
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Immunohistochemistry staining of Eag1 and p16/Ki-67 can help improve the management of patients with cervical intraepithelial Neoplasia after cold knife conversion
Authors (first, second and last of 4)
- Shikang Qiu
- Qiannan Wang
- Limin Feng
- Content type: Research
- Open Access
- Published: 11 July 2024
- Article: 97