“Growing Adoption of Predictive Analytics in Drug Development”
- Life sciences companies are increasingly using predictive analytics to enhance research and development decision-making, especially in early-stage drug discovery
- For instance, Pfizer has implemented predictive models to improve target identification and optimize trial planning
- Predictive analytics helps identify potential risks and trial failures before they occur, saving both time and resources
- By forecasting patient responses and treatment efficacy, predictive tools enable more personalized and effective trial designs
- The technology supports faster development timelines by anticipating outcomes and enabling adaptive trial modifications
- Predictive analytics also improves patient safety by identifying adverse effects early in the development phase
