Cancer Research Areas
Exploring cutting-edge approaches to cancer detection, treatment, and prevention through AI-powered analysis.
Genomic Analysis
Using AI to identify genetic markers and mutations that drive cancer development and progression, enabling more targeted therapies.
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Drug Discovery
Accelerating the identification and development of novel cancer therapeutics through machine learning and predictive modeling.
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Personalized Medicine
Developing AI models that predict individual patient responses to treatments, optimizing therapy selection and minimizing side effects.
Learn moreRecent Research Papers
Our team publishes groundbreaking research in leading scientific journals.
AI-Driven Prediction of Immunotherapy Response in Advanced Melanoma
Journal of Clinical Oncology, 2025
This study demonstrates a novel deep learning approach that predicts patient response to immune checkpoint inhibitors with 89% accuracy, significantly outperforming existing biomarkers.
Multi-omics Integration for Precision Oncology: A Machine Learning Framework
Nature Cancer, 2024
We present a comprehensive framework for integrating genomic, transcriptomic, and proteomic data to create personalized treatment recommendations for cancer patients.
