Pharmacy Times January 16, 2026
Key Takeaways
- Digital twin technology allows noninvasive measurement of metabolic flux in tumors, enabling personalized metabolic therapies and predicting treatment success.
- The approach addresses the challenge of dynamic tumor metabolism, which static tissue samples fail to capture, by using patient-specific data and computational models.
- Predicting therapeutic resistance and optimizing diet-based therapies are key implications, potentially sparing patients from ineffective treatments.
- Pharmacists will play a crucial role in treatment decision-making and medication management as AI-driven tools like digital twins become clinically integrated.
Innovative digital twin technology revolutionizes brain cancer treatment by predicting tumor metabolism and personalizing therapies for better patient outcomes.
Advances in precision oncology increasingly emphasize the importance of understanding tumor metabolism, particularly in aggressive cancers such as...
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