Seminars

Physics-informed neural networks (PINNs) have opened exciting avenues for integrating mechanistic modeling with data-driven learning.

Understanding the regulatory mechanisms governing tumour-immune interactions is crucial for advancing targeted therapies in cancer.

The COVID-19 pandemic spurred many computational modeling efforts. Many mistakes were made and many lessons were learned.

Successful organ transplantation is a lifesaving procedure, but it is met with serious risks including organ rejection, infection, and a compromised immune system.

In the field of pharmacokinetics and pharmacodynamics (PKPD) modeling, which plays a pivotal role in the drug development process, traditional models frequently encounter difficulties in fully enca

Mathematical models of major arterial occlusion

Eran Agmon, University of Connecticut Health  

Francis Crick first called for a coordinated worldwide scientific effort to determine a “complete solution” of the bacterium Escherichia coli.

Recent advancements in radiation therapy have significantly improved treatment precision and patient outcomes.

Ramon Ortiz Catalan, University of California at San Francisco.

Multiscale Monte Carlo modeling for radiation therapy applications