The development of new drugs and innovative therapies increasingly relies on experimental medicine studies, such as obtaining early proof-of-concept, understanding physiology, biotargets development/validation, and evaluating techniques, methods and models.
Computational Medicine is an emerging discipline devoted to the development of quantitative approaches for understanding the mechanisms, diagnosis and treatment of human disease through applications of mathematics, engineering and computational science. The core approach of Computational Medicine is to develop computational models of the molecular biology, pharmacology and physiology, and apply these models to clinical practice. Computational Medicine approaches can provide insight into and across many areas of biology, including genetics, genomics, molecular networks, cellular and tissue physiology, organ systems, and whole body pharmacology.
Computational Medicine Focus Area
- Systems Pharmacology & Personalized Medicine
- Advanced Topics in Pharmacokinetics and Pharmacodynamics
- Data Science for Biomedical Engineers
- Probability and Stochastic Processes
- Machine Learning: Data to Models
- Neuro Data Design
- Principles of Complex Networked Systems