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 ...
Researchers at Heidelberg University Hospital developed a machine learning model combining ultrasound, mammography, MRI and clinical data to predict pathological ...
A real-world study of 95 patients in Tokyo confirms that pembrolizumab combined with chemotherapy before and after surgery delivers event-free ...
A pattern-based p53 immunohistochemistry test identified patients with colorectal liver metastases at nearly four times the risk of early cancer ...
A new review synthesizes clinical trial evidence showing that combining radiotherapy with immune checkpoint inhibitors can dramatically boost response rates ...
A machine learning study of 351 breast cancer patients shows that MRI radiomics features from both the tumor and its ...
A new study finds that homologous recombination deficiency scores show a surprising non-monotonic relationship with pathological response to short-course radiotherapy ...
A large real-world cohort from Thailand finds that total neoadjuvant therapy doubles pathological complete response rates in locally advanced rectal ...
A study of 141 triple-negative breast cancer patients shows that advection terms in mathematical models best capture tumor cell movement ...
A stage IIIB lung squamous cell carcinoma patient achieved a pathological complete response after neoadjuvant sugemalimab plus chemotherapy, with biomarker ...
A phase II trial found that neoadjuvant camrelizumab plus apatinib, a chemotherapy-free combination of immunotherapy and anti-angiogenic therapy, produced manageable ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine