Stable MRI Radiomics Predicts Chemotherapy Response in Breast Cancer
A retrospective multicenter study of 686 patients with HR+/HER2− breast cancer established a stability-driven MRI radiomics model that accurately predicted ...
A retrospective multicenter study of 686 patients with HR+/HER2− breast cancer established a stability-driven MRI radiomics model that accurately predicted ...
A new graph autoencoder framework called SPICEiST enhances cell clustering in imaging-based spatial transcriptomics by integrating subcellular RNA patterns with ...
A new study shows that tumor heterogeneity significantly impacts the success of STING and LTβR-mediated tertiary lymphoid structure induction in ...
A study of 932 breast cancer patients finds that DCE-MRI radiomic subgroups and vascular gene-expression subgroups capture complementary, non-overlapping dimensions ...
A new review finds plasma extrachromosomal DNA may complement cell-free and circulating tumor DNA measures in breast cancer liquid biopsy, ...
A study of 60 NSCLC patients finds that only four texture-based radiomic features remain reproducible across clinical CT, ex vivo ...
A new review argues that glucose, lipid, and amino acid metabolism form one interconnected network driving hepatocellular carcinoma growth, immune ...
An animal study by City of Hope researchers shows that modular CAR T cells can accept engineered adaptors after treatment, ...
Researchers at the University of Cologne have identified a shared metabolic vulnerability in small cell lung cancer, where all cell ...
A multi-omics study combining genomics and spatial transcriptomics finds that BRCA-mutated high-grade serous ovarian cancers show stronger interferon and inflammatory ...
A five-aptamer panel reduced tumor-cell viability, proliferation, migration and colony formation in several triple-negative breast cancer cell lines, with variable ...
A mini-review finds that AI-assisted reconstruction of cell-state-specific gene regulatory networks can illuminate tumor plasticity and drug resistance, but experimental ...
A new review in Genes & Diseases outlines how co-targeting EGFR alongside other tumor-driving molecules, delivered via nanocarriers, could enable ...
A Chinese research team combined delta-radiomics from CT scans with clinical data and SHAP-based machine learning interpretation to predict the ...
Researchers in China have developed an interpretable machine learning model that analyzes all liver metastases on contrast-enhanced CT scans to ...
A new study shows that discordant lesions on dual-tracer FDG and FAPI PET/CT strongly predict shorter progression-free survival in aggressive ...
A new study shows that sequencing tumor DNA in ascites, pleural fluid, cerebrospinal fluid, and pericardial effusions can detect malignancies ...
A new review argues that triple-negative breast cancer's heterogeneity and therapy resistance emerge from spatially organized paracrine signaling networks between ...
A new review in Cellular and Molecular Life Sciences proposes hybrid biological-digital tumor twins, coupling patient-derived organoids with computational models ...
A single-cell analysis of nearly half a million pancreatic cancer cells shows that continuously evolving clones reshape their DNA to ...
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