Drug Research

Strategic early-stage planning and rigorous regulatory readiness serve as the foundation for accelerating pharmaceutical timelines and optimizing long-term R&D efficiency.

Optimization of clinical trial protocols through innovative designs and strategic endpoint selection directly accelerates drug development speed and improves operational reliability.

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...