AI Model Predicts Which Breast Cancer Patients Can Skip Unnecessary Surgery
Researchers at Heidelberg University Hospital developed a machine learning model combining ultrasound, mammography, MRI and clinical data to predict pathological ...
Tag: Pathological Complete Response
Real-World Data Confirm Immunotherapy Boost for Aggressive Early Breast Cancer
A real-world study of 95 patients in Tokyo confirms that pembrolizumab combined with chemotherapy before and after surgery delivers event-free ...
A Simple Staining Test Predicts Early Return of Colorectal Cancer After Liver Surgery
A pattern-based p53 immunohistochemistry test identified patients with colorectal liver metastases at nearly four times the risk of early cancer ...
Radiotherapy Meets Immunotherapy: New Hope for Hard-to-Treat Rectal Cancer
A new review synthesizes clinical trial evidence showing that combining radiotherapy with immune checkpoint inhibitors can dramatically boost response rates ...
MRI Radiomics Model Predicts Breast Cancer Chemotherapy Response by Reading the Tumor and Its Surroundings
A machine learning study of 351 breast cancer patients shows that MRI radiomics features from both the tumor and its ...
Enhanced Radiomics Predicts Response in Esophageal Cancer
In the rapidly evolving field of oncology, the introduction of innovative methodologies for predicting treatment responses is nothing short of ...
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