Tag: patient stratification

A new machine learning model combining MRI radiomics and clinical data predicts stroke outcomes with higher accuracy than clinical or ...

A structured narrative review maps extracellular vesicle evidence in vascular cognitive impairment and dementia, finding therapeutic research still largely preclinical ...

Serum lipid profiling of 121 lupus patients revealed reduced glycerophospholipid acyl-chain unsaturation that separates patients into subgroups linked to disease ...

A single-cell and spatial atlas of 66 breast tumors shows cysteine cathepsins occupy specific immune, epithelial and stromal niches, and ...

A three-day 2026 conference in Houston will examine emerging cancer therapeutics, targeted protein modulation, immunotherapies and artificial intelligence in drug ...

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 ...

A groundbreaking study published in the prestigious journal Nature Genetics has unveiled an unprecedented timeline of DNA damage events that ...