Argox [better] | LATEST · WORKFLOW |

Developed by researchers at Harvard and other institutions, ARGOX represents a major advancement in how we predict public health crises like influenza and COVID-19.

: In studies of influenza tracking from 2014 to 2020, ARGOX achieved a 28% error reduction compared to previous state-of-the-art models. It has also been successfully adapted to forecast COVID-19 deaths and hospitalizations at the state level. Developed by researchers at Harvard and other institutions,

: Researchers have developed ArgOX mutants to measure levels of L-citrulline , a marker for intestinal health, within a range of 10–500 μM. : Researchers have developed ArgOX mutants to measure

: ArgOX is frequently used in the development of amperometric biosensors . These sensors are designed to detect ammonium ions or specific amino acids in biological samples, providing a fast and accurate alternative to complex lab testing. Springer Nature Linkhttps://amb-express.springeropen.com Springer Nature Linkhttps://amb-express

: The model uses a "winner-takes-all" ensemble approach, selecting the best-performing predictor for each specific week to maintain accuracy even when ground-truth data is noisy. 2. Biochemistry: L-arginine Oxidase (ArgOX)

: ARGOX is an extension of the ARGO (Augmented Regression with GOogle data) model. While the original ARGO focused on national trends, ARGOX introduces a "cross-space" component. It integrates Google search volume data with traditional clinical reports from the CDC to account for geographical proximity and spatial correlations between regions.