Opportunities and Challenges of Synthetic Data Generation in Oncology. If you have the appropriate software installed, you can download article citation data to the citation manager of your choice.

Synthetic data has been one of the biggest new trends of the past two years. Our contributors look ahead to the development ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

Synthetic data— artificial data that closely mimic the properties and relationships of real data—is not a new idea but recent technological advances have brought it to prominence as a potentially ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.

Government agencies are on the hunt for vendors and best practices that can help them make use of artificially generated data — also known as synthetic data generation – that can be used to build or ...

The Federal Chief Data Officers Council is looking for information on synthetic data generation as it works to establish best practices, according to a solicitation posted Thursday. The request for ...

Advancements in Natural Language Processing (NLP) models and generative artificial intelligence (GAI) models have fundamentally changed the way that we think of human interaction—think AI chatbots and ...

Strict data privacy regulations have compelled companies to transition to using synthetic data, the ideal substitute for real data, containing similar insights and properties yet is more privacy-safe ...