At the 15th Annual Outsourcing in Clinical Trials (OCT) Europe conference, which took place between 29 and 30 April in ...

For companies focused on AI-driven products, customer insights and automation, these barriers slow progress and introduce risks. Applications Of Synthetic Data Synthetic data is a strategic tool ...

To avoid the difficult transceiver-isolation problem of a monostatic synthetic aperture radar (SAR) for terahertz (THz) near-field azimuth-range imaging, a compact bistatic SAR geometry is ...

Generating synthetic samples is an advanced technique that involves creating new, artificial instances of the minority class. One popular method is Synthetic Minority Over-sampling Technique ...

Driving Innovation With Synthetic Data The finance sector, characterized by its cautious approach towards data privacy and regulatory compliance, has historically been limited in its ability to ...

In this case, you can use three different techniques: undersampling, oversampling and synthetic data. Undersampling as the name indicates you will use only one part of the dominant class trying to ...

Synthetic control arms represent a way to take a safe (as well as time- and money-saving) leap forward into real-world evidence. They work like this: Instead of collecting data from patients ...