Browsing: Transfer

Polygenic risk scores (PRSs) are used to predict disease risk from genetic variants. They usually incorporate the influence of hundreds to millions of genetic variants. However, their adoption for clinical decision making is currently low, partly because historical genome-wide association studies (GWASs) have overwhelmingly evaluated European cohorts, resulting in severe accuracy drops when applied to…

Until a few years ago, setting up a new iPhone always meant losing something. Half your settings gone. Some apps needed reinstalling from scratch and you wouldn’t know until you went looking for them. Some people just gave up and started from zero. Years of app data gone. Apple fixed most of that with Quick…

I’ve been exploring the AI tool market and have a better understanding of the biggest strengths and weaknesses of the big three.

Clinical prediction models often underperform in deployment populations that differ from historical training cohorts because of covariate shifts, but outcome-based updating is infeasible when deployment outcomes are unavailable. This challenge is further amplified when the target training cohort has limited samples or sparse events. Here we propose CoxRTL, a transfer learning framework with deployment-covariate recalibration…