Machine learning model-based approach using cellular proliferation marker expression for preoperative clinical
Shashank Kumar1, Mahendra Pratap Singh2, Lajya Devi Goyal3
1Department of Biochemistry, Central University of Punjab, Bathinda 151401, Punjab, India. shashankbiochemau@gmail.com.
World Journal of Gastrointestinal Oncology
|October 20, 2025
Summary
This study developed a machine learning model using Ki-67 expression to aid treatment decisions for hepatocellular carcinoma (HCC) patients before surgery. The model showed strong predictive accuracy, offering clinical benefits for HCC management.
Area of Science:
- Oncology
- Radiology
- Machine Learning
Background:
- Hepatocellular carcinoma (HCC) management requires accurate pre-surgical decision-making.
- Cellular proliferation markers, like Ki-67, are crucial for assessing tumor aggressiveness.
Keywords:
CancerCellular proliferation markerHepatocellular carcinomaMachine learning modelPreoperative therapy decisionMore Related Videos
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