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Publications

It publishes more than 10 SCI-level  journals(Top 20%) annually.

Cancers 14(6)

Mar
2022

Tumor Budding in Gynecologic Cancer as a Marker for Poor Survival: A Systematic Review and Meta-Analysis of the Perspectives of Epithelial–Mesenchymal Transition

Biomedicines 10(3)

Mar
2022

Calculated Tumor-Associated Neutrophils Are Associated with the Tumor−Stroma Ratio and Predict a Poor Prognosis in Advanced Gastric Cancer

Cancers 14

May
2022

Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape

Cancers 14
 

May 2022

Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review.

Cancer Research 82
 

Jun
2022

Abstract 5296: Poly(ADP-ribose) polymerase-1 expression is a good survival marker in pancreatic cancers, unlike other solid cancers

Frontiers in Oncology 12

Jun
2022

Tumor Budding as a Marker for Poor Prognosis and Epithelial–Mesenchymal Transition in Lung Cancer: A Systematic Review and Meta-Analysis

Medicina 58(7)
 

Jul
2022

Intratumoral Budding in Pretreatment Biopsies, among Tumor Microenvironmental Components, Can Predict Prognosis and Neoadjuvant Therapy Response in Colorectal Adenocarcinoma

JPTM 56(6)
 

Oct
2022

Current status of cytopathology practice in Korea: impact of the coronavirus pandemic on cytopathology practice

Cancers 14

Jul 
2022

Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review.

Cancer Research 82
 

Jun
2022

Abstract 6133: Intratumoral budding in pretreatment biopsies can predict prognosis and neoadjuvant therapy response among the tumor microenvironmental components in colorectal adenocarcinoma

Nov
2022

Development of quality assurance program for digital pathology by the Korean Society of Pathologists

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AI pathology Lab

271, Cheonbo-ro, Uijeongbu-si, Gyeonggi-do, Republic of Korea

The Catholic University of Korea College of Medicine

Tel : +82-31-820-1975

Email : aipathologylab.korea@gmail.com

©2024 by AI pathology Lab. 

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