Ethereum co-founder Vitalik Buterin shared on X today that he believes zk-EVMs are going to become the main way Ethereum ...

Abstract: The development of reliable software depends heavily on the effective collaboration between teams responsible for development and testing. Despite ongoing efforts, many software programs ...

Validation of an analytical method provides evidence that when correctly applied, it produces results that are fit for purpose, thereby demonstrating the effectiveness of the method with an acceptable ...

In today's rapidly evolving technological landscape, industries such as life sciences, pharmaceuticals, and medical devices are increasingly challenged to maintain regulatory compliance while driving ...

Supervised learning allows broad-scale mapping of variables measured at discrete points in space and time, e.g., by combining satellite and in situ data. However, it can fail to make accurate ...

These methods hold out a small amount of training data, called validation data, and use it to assess the accuracy of the predictor. To find the root of the problem, they conducted a thorough analysis ...

The era of precision medicine demands more rigorous biomarker validation methods. While ELISA has long been the gold standard, advanced technologies such as LC-MS/MS and Meso Scale Discovery (MSD) ...

AI has been hailed as the Lionel Messi of the pharma industry’s productivity problem. But just like star players with high salaries don’t necessarily lead to more game-winning goals, nearly $60 ...