Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

A team led by Dr. Yuri Tolkach at the University of Cologne's Faculty of Medicine and University Hospital Cologne has investigated prostate tumors and developed an advanced, realistic, ...

Medicine makers need to get better at math. Improved mathematical modeling would accelerate the move toward automated processes, cut production times, and reduce costs. Researchers Francesco Destro, ...

In a recent study posted to the bioRxiv* preprint server, researchers used a novel mathematical model to simulate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) dynamics inside the host.

Biologics derived from mammalian sources are expected to undergo two orthogonal virus removal processes. One common processing step is a batch low-pH hold to inactivate enveloped viruses. Attempts to ...

Researchers have published new findings that take a first look at the use of SARS-CoV-2 mathematical modeling to inform early statewide policies enacted to reduce the spread of the coronavirus ...

Last week, Google Research held an online workshop on the conceptual understanding of deep learning. The workshop, which featured presentations by award-winning computer scientists and neuroscientists ...

Researchers have developed a three-dimensional mathematical model of prostate cancer. The model depicts various processes, including tumour growth, genetic evolution and tumour cell competition.