01 Integration of Artificial Intelligence and Machine Learning The integration of AI and ML into biosimulation platforms has significantly transformed the healthcare and pharmaceutical industries. These advanced AI/ML algorithms enable the creation of highly accurate predictive models and simulations, providing a more thorough analysis of large, complex biological and clinical data sets.As a result, healthcare providers can make more precise predictions about patient outcomes and develop personalized treatment plans. In drug discovery and development, AI and ML optimize processes, reduce the time and cost required to bring new therapies to market and improve overall treatment effectiveness. For example, in 2021, more than 100 drug and biologic applications submitted to the FDA incorporated AI/ML components. These submissions covered a broad spectrum of therapeutic areas, with sponsors integrating AI/ML at various stages of drug development, demonstrating the expanding role of these technologies in the pharmaceutical sector.
May 2026 Certara expanded its biosimulation platform with new AI-powered modeling and simulation capabilities, enabling faster drug development, improved clinical trial design, and enhanced regulatory decision support.
March 2026 Simulations Plus launched an enhanced version of its pharmaceutical biosimulation software featuring improved physiologically based pharmacokinetic (PBPK) modeling and predictive analytics for drug development.
October 2025 Dassault Systèmes expanded its MEDIDATA biosimulation capabilities by integrating advanced virtual patient modeling and AI-driven simulation tools to accelerate clinical research.
June 2025 Certara introduced new biosimulation workflows integrating machine learning with model-informed drug development to improve dose optimization and clinical trial efficiency.