Personalized Cancer Treatment: Integrating Digital Twins and Quantitative Systems Pharmacology
Molecular Imaging & Therapy via YouTube
2,000+ Free Courses with Certificates: Coding, AI, SQL, and More
Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the cutting-edge approach to personalized cancer treatment in this 37-minute invited speaker presentation by Dr. Leili Shahriyari, Associate Professor at the University of Massachusetts Amherst. Delve into the integration of digital twins and quantitative systems pharmacology as powerful tools in the fight against cancer. Learn how these advanced techniques are revolutionizing cancer care by tailoring treatments to individual patients. Gain insights into the latest research conducted at the UMass Cancer Center and the Institute for Applied Life Sciences (IALS). Discover the potential of mathematical modeling and computational approaches in optimizing cancer therapies and improving patient outcomes.
Syllabus
Personalized Cancer Treatment: Integrating Digital Twins & Quantitative Systems Pharmacology
Taught by
Molecular Imaging & Therapy