Six Biological Dimensions May Redefine How MRI Sorts Parkinson’s Disease Patients
A new perspective in npj Parkinson's Disease proposes a six-dimensional MRI-based framework for capturing the biological heterogeneity of Parkinson's disease ...
A new perspective in npj Parkinson's Disease proposes a six-dimensional MRI-based framework for capturing the biological heterogeneity of Parkinson's disease ...
A multi-omics study in Nature Communications reports a seven-feature blood-based diagnostic panel and a twelve-transcript prognostic signature that diagnose pediatric ...
An explainable graph neural network called SpaCEy identifies the spatial tissue patterns and protein markers that predict cancer survival and ...
A new study finds that about fourteen percent of Parkinson's patients without recognised pathogenic mutations show LRRK2 pathway activation as ...
Researchers have shown that the potassium channel gene KCNK1, particularly its DNA methylation status, can detect high-grade serous ovarian cancer ...
A new Bayesian framework called MANTRA jointly analyzes three-dimensional drug-response data and two-dimensional gene expression matrices, revealing clinically relevant leukemia ...
Researchers propose reframing drug development as an iterative, data-centric learning system in which single-cell readouts from human immunotherapy responses continuously ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine