TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...
Several measurement techniques used in the life sciences gather data for many more variables per sample than the typical number of samples assayed. For instance, DNA microarrays and mass spectrometers ...
Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ, biological ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Get alerts on the UK app about the latest stories from InDepth - the home of the best analysis from BBC correspondents Fergal Keane has met thousands of traumatised children while reporting on ...
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