Frequently Asked Questions
Digital transformation in the pharmaceutical industry means adopting technologies like AI, cloud computing, IoT, and automation to modernize operations, speed up drug discovery, improve manufacturing, and enhance patient outcomes.
AI in pharma analyzes huge datasets to identify potential drug candidates, predict molecular interactions, and optimize compound designs. This reduces the time and cost of drug discovery while improving success rates.
Predictive analytics helps forecast how drugs will behave in the body, predict patient responses, and anticipate clinical trial outcomes. This minimizes late-stage failures and improves decision-making in R&D.
Digital twins are virtual replicas of physical processes used to simulate drug development, optimize manufacturing, and predict potential production issues before they occur.
IoT sensors and automation tools monitor equipment, track quality parameters, and provide supply chain visibility. This improves efficiency, reduces downtime, and ensures consistent product quality.
