Tech Insights

AUC

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What is AUC?

AUC most commonly refers to Area Under the Curve. In machine learning and statistics, it is frequently used as a performance metric for binary classification models. Specifically, the Area Under the Receiver Operating Characteristic (ROC) curve (AUC-ROC) quantifies the model's ability to distinguish between positive and negative classes across various classification thresholds. A higher AUC score indicates better performance. It is also sometimes used in other fields such as pharmacokinetics (AUC representing drug exposure) but its primary association is in machine learning model evaluation.

What other technologies are related to AUC?

AUC Complementary Technologies

Dynamic Light Scattering is complementary to AUC as it provides information on particle size and size distribution, which can be used to support and validate AUC results.
mentioned alongside AUC in 7% (175) of relevant job posts
Size-Exclusion Chromatography with Multi-Angle Light Scattering is strongly complementary as SEC separates molecules by size, and MALS determines absolute molecular weight, providing orthogonal information to AUC regarding size, MW, and aggregation.
mentioned alongside AUC in 13% (93) of relevant job posts
Capillary Isoelectric Focusing separates proteins based on their isoelectric point (pI), offering complementary information to AUC regarding protein charge and heterogeneity.
mentioned alongside AUC in 8% (72) of relevant job posts

Which organizations are mentioning AUC?

Organization
Industry
Matching Teams
Matching People
AUC
GSK
Health Care and Social Assistance
AUC
Johnson & Johnson
Health Care and Social Assistance
AUC
Novartis
Health Care and Social Assistance

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