Bacha, Ahmad and Shah, Heta Hemang (2024) AI-Enhanced Liquid Biopsy: Advancements in Early Detection and Monitoring of Cancer through Blood-based Markers. Global Journal of Universal Studies, 1 (1). ISSN 3008-0509
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Abstract
The inclusion of AI technology into liquid biopsy brings us important new ways to find and track cancer. The non-invasive blood test called liquid biopsy shows great potential for early cancer detection and helps doctors track disease changes and create custom treatments. Machine learning algorithms in AI technology helps liquid biopsy find better biomarkers and detect cancer earlier while also monitoring patient health in real time. Advanced technologies find cancer-related genetic faults along with tumor markers and detect remaining disease cells accurately. Using advanced AI to solve quality and accuracy problems helps liquid biopsy systems transform how doctors treat cancer by identifying diseases sooner and giving better treatment plans for patients. These advancements help identify cancer-related genetic mutations, tumor markers, and minimal residual disease that may otherwise be missed. By addressing the challenges of data quality, algorithmic accuracy, and clinical integration, AI-enhanced liquid biopsy can transform cancer care, offering earlier detection, more precise monitoring, and tailored treatments for individual patients. This report explores latest advancements and explains how AI helps transform liquid biopsy use in medical oncology.
| Item Type: | Article |
|---|---|
| Subjects: | ?? AI, Liquid Biopsy, Cancer Detection, Machine Learning, Blood-based Biomarkers, Early Diagnosis, Cancer Monitoring, Personalized Medicine. ?? |
| Depositing User: | Unnamed user with email samad2nice@gmail.com |
| Date Deposited: | 11 Sep 2026 07:10 |
| Last Modified: | 11 Sep 2026 07:10 |
| URI: | https://repository.globalsciencepress.com/id/eprint/97 |
