As the president and CEO of COTA Healthcare, Sasu is working to solve a core problem in the industry: "how to use data to ...

The age of artificial intelligence (AI) has transformed our interactions, but threatens human dignity on a worldwide scale, ...

While RWD and RWE are sometimes used interchangeably, they have different definitions by the US Food and Drug Administration ...

AI-generated papers are on the rise, and concerns grow around authorship, AI plagiarism, and maintaining trust in ...

In April 2025, the US Food and Drug Administration (FDA) published a roadmap for leveraging new approach methodologies (NAMs), including in silico approaches such as artificial intelligence (AI), to ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

These capabilities illustrate the multifaceted promise of AI: speeding up scientific discovery, improving patient outcomes, ...

Furthermore, the pharmaceutical industry can benefit significantly from quantum computing. Drug discovery involves simulating complex molecular interactions, which is a computationally intensive ...

AI-augmented development involves using generative AI to support various stages of the software development lifecycle, including design, testing, and deployment.

Poor Simulation Data Is Sabotaging Digital Twin Innovation: How to Fix It Your email has been sent The costs of poor data quality in digital twin development What strong data foundations look like ...