Pharmaceutics & Drug Delivery

Pharmaceutical Research and Development

 Pharmaceutical research and development spending while they are expected to grow at a compounded annual growth rate (CAGR) of 2.8% through 2022, experts and stakeholders are seeing a downward trend in its return on investment (ROI). Pharmaceutical companies are under increasing pressure to either improve the success rates of their research and development or reduce their cost of failure, which a breakthrough typically would cover. The pharma research and development process yields an average success rate of 4.9% from first toxicity dose to market approval. However, experts are questioning whether drug approvals had already reached its peak in 2015 and will continue to decline following the lower number FDA-approved drugs in 2016. With a bleak outlook on improving success rates for pharma research and development , more and more pharmaceutical companies are reducing their costs of failures through collaboration.

Since current internal research and development processes are losing financial viability due to lower success rates, increasing collaboration is the next stage in the evolution of pharmaceuticalresearch and development. Pharmaceutical companies are forming public and private consortia with their peers and competitors, not only to share in the costs of failure, but also to try and improve success rates and get new drugs to patients faster. Pharmaceutical companies also form hubs and create collaborative networks of suppliers and other pharmaceutical companies. This setup allows them to focus on their core expertise such as clinical trial research, execution, and medicinal chemistry.

•  Discovery and Development
• Preclinical Research
•  Clinical Research
•  Clinical trial design
•  Investigative New Drug (IND) Process
• FDA Approval
• Clinical research phase studies. 
• FDA Assistance
• The Data Challenges of Pharmaceutical Research, Development, and Collaboration
•  Clinical Data Management: A Proven Solution for Pharmaceutical R&D Data Challenges