METABRIC
PulseAugur coverage of METABRIC — every cluster mentioning METABRIC across labs, papers, and developer communities, ranked by signal.
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New CNQ framework ensures valid ordering for survival prediction
Researchers have developed a new framework called Censored Non-crossing Quantile (CNQ) for survival analysis, designed to address limitations in existing methods for handling censored data. This framework ensures that e…
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New benchmark CoMedBench evaluates synthetic medical data utility
Researchers have introduced CoMedBench, a new benchmark designed to evaluate the fidelity and utility of synthetic medical data. This benchmark aims to address the challenges of using real patient data due to privacy re…
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New agentic framework predicts gene perturbation effects using patient data
Researchers have developed CASCADE, a novel agentic framework designed to predict the downstream transcriptional effects of gene perturbations. This framework leverages precomputed ARACNe regulatory networks and is vali…
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AI guides spatial proteomics to identify cancer recurrence risk niches
Researchers have developed a novel AI-driven framework to analyze spatial proteomics in triple-negative breast cancer (TNBC). This approach integrates AI-generated recurrence risk heatmaps with mass spectrometry data to…
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Copula-based fusion of clinical and genomic scores improves breast cancer risk stratification
Researchers have developed a new method using copula functions to fuse clinical and genomic risk scores for breast cancer stratification. While this approach did not improve predictive accuracy (ROC-AUC) compared to usi…
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New method finds diverse models with similar performance
Researchers have developed a new method to identify multiple models that perform similarly on datasets but exhibit distinct context-aware characteristics. Experiments on the METABRIC dataset demonstrated that this appro…
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New Stein-Encoder framework disentangles genetic and clinical data for precision medicine
Researchers have developed a new framework called Stein-Encoder for multi-modal biomedical research. This white-box supervised encoder aims to disentangle genetic signals from clinical data to improve precision medicine…