Machine Learning Model Improves Breast Cancer Risk Stratification
A new machine learning model integrating genomic, immune, and clinical data improves prognostic stratification in ER-positive/HER2-negative early breast cancer by ...
A new machine learning model integrating genomic, immune, and clinical data improves prognostic stratification in ER-positive/HER2-negative early breast cancer by ...
A study in Breast Cancer Research found that metabolic response measured by FDG-PET/CT is associated with longer progression-free survival in ...
A qualitative study of 14 Tanzanian breast cancer survivors identifies health system strengths, diagnostic barriers, and patient-driven recommendations for improvement.
A study in Cell Biology and Toxicology shows that a darunavir-analogue precursor enhances tamoxifen response in breast cancer by inducing ...
A new commentary argues that a recent study on breast cancer prevention in BRCA-mutated ovarian cancer patients suffers from survivorship ...
Researchers designed and synthesized twelve novel triazole-benzoyl azaglycinamide hybrid compounds, identifying a dinitro derivative with notable in vitro cytotoxicity against ...
Researchers have engineered a cell-penetrating TRIM21-based protein degrader that targets all three PIM kinase isoforms to induce apoptosis in breast ...
A qualitative study of sixteen breast cancer patients and carers found that obtaining care required repeated calls, error correction and ...
A cross-sectional study of 279 reproductive-age breast cancer patients identified three distinct psychological profiles regarding fertility preservation decisions, highlighting a ...
A case series of two metastatic breast cancer patients receiving capecitabine found that topical delgocitinib produced marked relief in one ...
A strict patient-disjoint evaluation found that a stain-aware image enhancement pipeline did not consistently outperform raw scans for breast histopathology ...
A deep-learning model infers the ICR immune signature from routine H&E breast tumor slides and independently predicts survival and pathological ...
A new review maps how multigene assays guide breast cancer treatment decisions while flagging critical evidence gaps in node-positive and ...
A multicenter study demonstrates that integrating clinical, radiomics, habitat, and deep learning MRI features improves preoperative prediction of axillary lymph ...
An exploratory case-control study of 100 Vietnamese women identified preliminary associations between three microRNA out-seed variants regulating WNT and NOTCH ...
A computational model based on thirteen succinylation-related genes stratifies breast cancer survival outcomes and correlates with immune infiltration, mutation patterns, ...
A national study of Medicaid beneficiaries with breast cancer found that nominal prescription co-payments under eight dollars were not associated ...
A SEER-based study of more than 18,000 American Indian and Alaska Native cancer patients found large regional differences in timely ...
Researchers developed a multiplexed immunoassay that measures immune checkpoint proteins on the surface of plasma extracellular vesicles and found generally ...
Researchers have identified a prehistoric BRCA1 founder variant in Rwandan breast cancer cases that originated thousands of years ago.
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