2021 Virtual PhysiCell Workshop and Hackathon

PhysiCell is an open source, agent-based simulation framework for simulating complex multicellular systems. It simulates the chemical environment (diffusion of substrates and signaling factors), individual cell behaviors, and cell-cell interactions. It can be tailored to a broad variety of problems in cancer, infectious diseases, developmental biology, immunology, micro-ecosystems, and more.

IMAG/MSM Working Group on Multi-scale Modeling for Viral Pandemics, May 13, 2021 (Thursday) 3 pm EDT

The next weekly meeting of the WG will be held on Thursday, May 13 at 3 pm Eastern Daylight Time (EDT). The zoom will be open and live-streamed, you will have to fill in your name and email address to attend: https://iu.zoom.us/meeting/register/tZYqd-2srD8tGtCXDem4Cka08rBz5fDW0EQR

Achieving high Covid-19 vaccine coverage levels by summer can prevent millions of cases

ith around 30 percent of the U.S. population now fully vaccinated, the rate of daily vaccinations has started to slow, raising concerns that greater efforts and investments may be needed to reach higher coverage levels. A study published in the Journal of Infectious Diseases on May 6 shows the lives, hospitalizations, and costs that can be saved by even relatively small increases in vaccination coverage and reaching higher vaccination coverage levels sooner (e.g., by the end of the summer versus fall/winter).

Lives and Costs Saved by Expanding and Expediting COVID-19 Vaccination

Submitted by SarahRebbert on

Background

With multiple COVID-19 vaccines available, understanding the epidemiologic, clinical, and economic value of increasing coverage levels and expediting vaccination is important.

Methods

We developed a computational model (transmission and age-stratified clinical and economics outcome model) representing the US population, COVID-19 coronavirus spread (02/2020-12/2022), and vaccination to determine the impact of increasing coverage and expediting time to achieve coverage.

Results

Multiscale Modeling of Cardiovascular Function Predicts That the End-Systolic Pressure Volume Relationship Can Be Targeted via Multiple Therapeutic Strategies

Submitted by jfw859 on

Most patients who develop heart failure are unable to elevate their cardiac output on demand due to impaired contractility and/or reduced ventricular filling. Despite decades of research, few effective therapies for heart failure have been developed. In part, this may reflect the difficulty of predicting how perturbations to molecular-level mechanisms that are induced by drugs will scale up to modulate system-level properties such as blood pressure. Computer modeling might help with this process and thereby accelerate the development of better therapies for heart failure.