Drug Research

Integrating comprehensive analytics and real-world data into clinical planning allows pharmaceutical companies to optimize trial design and significantly improve patient outcomes.

Implementing optimized early-stage frameworks and enhancing trial readiness allows pharmaceutical sponsors to accelerate clinical timelines and maintain high R&D efficiency.

Leveraging early-stage data and translational research allows pharmaceutical companies to mitigate drug development risk and implement adaptive strategies for higher success.

Boehringer Ingelheim has introduced a new artificial intelligence (AI) and machine learning (ML) facility in London, strengthening its efforts to integrate advanced technologies into pharmaceutical research. The AI R&D centre will focus on applying AI models to support the...

A new integrated approach to long-read sequencing of archived tissue samples has been introduced through a collaboration between PacBio and Covaris, with the workflow set to be presented at the American Association for Cancer Research Annual Meeting. The jointly...

The U.S. Food and Drug Administration has released a draft guidance outlining safety assessment standards for human gene therapy products that incorporate genome editing technologies, marking a step toward streamlining development pathways for advanced therapies. Announced on April 14,...

Amazon Web Services has introduced Amazon Bio Discovery, an AI-powered application designed to streamline drug research by enabling scientists to design, test, and refine novel therapies with greater speed and precision. The platform leverages biological foundation models trained on...