breast cancer
PulseAugur coverage of breast cancer — every cluster mentioning breast cancer across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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New deep learning framework integrates histology and genomics for cancer research
Researchers have developed JASPR, a self-supervised deep learning framework designed to integrate histology images (HE) and spatial transcriptomics (ST) data. This novel approach aims to capture universal spatial proper…
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OncoSynth framework generates synthetic oncology data for improved treatment effect estimation
Researchers have developed OncoSynth, a new machine learning framework designed to generate synthetic oncology patient data. This framework addresses the limitations of existing methods by preserving causal relationship…
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Federated learning shows promise for healthcare survival analysis · 2 sources tracked
A new paper evaluates federated learning for survival analysis in healthcare, specifically on breast cancer data across multiple institutions. The study compared three survival models (Cox Proportional Hazards, DeepSurv…
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AI model integrates text and structured data for breast cancer recurrence prediction
Researchers have developed a multi-modal machine learning approach to predict breast cancer recurrence, integrating structured treatment data with unstructured pathology reports and clinician notes. This method uses reg…
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European breast cancer MRI dataset released for AI research
Researchers have introduced a new, publicly accessible dataset of European breast cancer MRI scans to advance AI development in medical imaging. The dataset includes 741 examinations from six institutions across five co…
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Haiku model integrates spatial biology, histology, and clinical data
Researchers have developed Haiku, a novel tri-modal contrastive learning model designed to integrate molecular, morphological, and clinical data from biomedical research. Trained on a large dataset of spatial proteomics…