
In today’s high-cost R&D environment, pharma success depends less on cost-cutting and more on evidence-based portfolio decisions, niche-buster strategies, and real-world data-driven indication expansion to maximize both ROI and patient outcomes.
In today’s high-cost R&D environment, pharma success depends less on cost-cutting and more on evidence-based portfolio decisions, niche-buster strategies, and real-world data-driven indication expansion to maximize both ROI and patient outcomes.
Pharma R&D faces rising trial complexity, high costs, and patient and investigator shortages, driving the need for adaptive models and data-driven strategies to speed therapies to market.