AI turns routine blood count reports into a low-cost multi-disease screening tool
Researchers have built an AI pipeline that digitizes paper-based complete blood count reports with PaddleOCR and uses tuned machine learning ...
Researchers have built an AI pipeline that digitizes paper-based complete blood count reports with PaddleOCR and uses tuned machine learning ...
A retrospective case-control study found that children and adolescents presenting to a paediatric emergency department with non-suicidal self-injury had a ...
A Croatian study tracking 30 Lika Pramenka ewes through late pregnancy and lactation shows that reproductive stage and feed quality ...
A large-scale analysis of 455,530 infection patients shows that routine blood count parameters form distinct site-associated patterns across 29 infection ...
A large two-cohort study shows that a blood-based DNA methylation panel targeting the HYAL2, S100P and DYRK4 genes, combined with ...
A new commentary in Pediatric Research evaluates whether the Aggregate Index of Systemic Inflammation, calculated from routine blood count parameters, ...
A machine learning model called PRISM uses routine complete blood count data to identify adults likely to carry high-risk clonal ...
A new Pediatric Research commentary highlights evidence that a routine blood count-derived inflammation index tracks pediatric allergic rhinitis and reveals ...
A large pooled European cohort study with US validation finds that an elevated red cell distribution width, a standard component ...
A routinely calculated blood inflammation index may identify children with Kawasaki disease at highest risk of developing coronary artery aneurysms.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine