Invest in Research and Development
A robust R&D strategy is essential to replenish the sales pipeline and sustain long-term growth. Companies should prioritize therapeutic areas with high unmet medical needs, where innovation can deliver both clinical impact and market differentiation.
One way to accelerate R&D is integrating AI and machine learning into drug discovery. These technologies enable the rapid analysis of complex datasets, the identification of promising compounds, and the optimization of clinical trial design—reducing time-to-market and development costs.
Strategic partnerships with academic institutions, biotech firms, and research organizations can further accelerate innovation. These collaborations provide access to specialized expertise and shared infrastructure, fostering a more agile and productive R&D ecosystem.
Key Actions:
- Focus R&D on high-potential therapeutic areas.
- Use AI/ML to streamline drug discovery and development.
- Partner with external innovators to expand capabilities.
Industry Example:
AstraZeneca has successfully navigated the patent cliff by concentrating on high-growth therapeutic areas. Notable examples include oncology with Tagrisso for lung cancer, respiratory with Symbicort, and cardiovascular diseases with Farxiga. The company invests approximately 20% of its revenue into R&D, prioritizing innovative treatments such as biologics and cell therapies, while also leveraging AI technologies to accelerate drug discovery. In addition, strategic acquisitions—most notably the 2021 acquisition of Alexion—have strengthened AstraZeneca’s portfolio in rare diseases.