Connecting learning to earning: Lessons from Asia and Africa


Connecting learning to earning: Lessons from Asia and Africa



8:30 am EDT - 5:00 pm EDT

Past Event

Improving productivity in pharmaceutical research and development

Tuesday, July 28, 2015

8:30 am - 5:00 pm EDT

Embassy Row Hotel
Ambassador Ball Room

2015 Massachusetts Avenue
Washington, DC

The high failure rate of investigational compounds during drug development, especially in late stages of the clinical development process, is widely seen as a key contributor to the outsize amount of time and resources necessary to develop new drugs. Advances in clinical pharmacology and experimental medicine have the potential to rebalance these trends by providing researchers with the tools to more efficiently and systematically identify promising targets and compounds, appropriate patient populations, and adequate doses for study much earlier in development. 

On July 28, the Center for Health Policy at Brookings, in collaboration with the International Consortium for Innovation & Quality in Pharmaceutical Development and the U.S. Food and Drug Administration (FDA), hosted a public meeting to tackle these issues. Through presentations and case studies, leading experts from industry, academia, and government agencies explored the evolving role of clinical pharmacology tools in pre-clinical and clinical development, existing gaps in the application of those tools, and how emerging science could be better leveraged to improve the efficiency of drug development programs and better optimize treatments. Discussion at this event will potentially be harnessed to inform downstream guidance documents, to establish best practices for the application of emerging clinical pharmacology tools, or to support academic publications. Speakers will convene privately to discuss such downstream deliverables and key takeaways from the conference.

Click here to access the full event agenda.

Optimizing target and compound selection to enhance early stage decision-making

The right dose for the right patient: Challenges and opportunities in dose optimization

Precision medicine: Trial enrichment, biomarker science, and mechanistic reasoning to optimize patient selection

Applications of clinical pharmacology to support demonstration of efficacy