Bioanalytics

Keynote: From Algorithms to Action: Harnessing Predictive Models in the Era of Precision Medicine

Keynote Speaker(s)

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  Anna Kondic, PhD, MBA

  Vice President Pharmacometrics
  BMS, New Jersey

Moderator(s)

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  Jim Shen, PhD

  Executive Director, Head of Regulated Bioanalysis and Mass Spectrometry
  Bristol Myers Squibb
  Princeton, New Jersey

Predictive modeling is increasingly vital for decision-making in pharmaceutical research and development, offering tools to anticipate patient outcomes, optimize treatment strategies, and support precision medicine. These models range from data-driven approaches, which use statistical and machine learning techniques to identify patterns in clinical data, to mechanistic models, which simulate biological processes based on established physiological and pharmacological principles. Mechanistic models—such as those used in pharmacokinetics/pharmacodynamics (PK/PD) and disease progression—enable scenario testing and extrapolation beyond observed data. When integrated, these approaches enhance predictive accuracy, interpretability, and clinical utility, supporting evidence-based decisions across drug development, diagnostics, and patient care. The speaker hopes to demonstrate that extra care is needed to stage the development of these models and also to benchmark their performance in various validation scenarios.