Geometrical Gene Signatures Accurately Predict Cancer Treatment Response in Clinical Trials
A study using Phase III renal cell carcinoma trial data found that geometry-based gene-expression signatures predicted patient response to combination ...
A study using Phase III renal cell carcinoma trial data found that geometry-based gene-expression signatures predicted patient response to combination ...
A Quantum Topological Microstructure Graph Neural Network improved daily realized volatility forecasting across fifty Borsa Istanbul equities compared to nine ...
Researchers have developed a diagnostic framework combining persistent homology and machine learning that detects COVID-19 in chest computed tomography scans ...
Researchers developed a topology-aware point-cloud generation framework combining simplicial diffusion and multi-scale graph decoding to preserve global structural coherence without ...
A new computational framework called TopoBoW combines topological data analysis with visual word encoding to distinguish healthy from pathological mouse ...
A new study shows that an ensemble persistent-homology test of cyclone trajectories returns three different verdicts under three longitude encodings, ...
A multiscale EEG study of 250 adolescents finds theta-band hyperconnectivity, reduced dynamic state flexibility, and focal right prefrontal topological vulnerability ...
A development study combined deep learning segmentation with persistent homology analysis of optic nerve head tissues, achieving strong glaucoma discrimination ...
A hybrid graph neural network that combines message passing with topological persistence embeddings shows improved robustness to edge removal on ...
Researchers have introduced the persistence partition, a non-parametric method using persistent homology to group network nodes in ways that conventional ...
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© 2026 Scienmag - Science Magazine