Supercomputers Help Researchers Design Cancer Models and Predict Treatment Outcomes

News   Jan 04, 2018 | Original story from Texas Advanced Computing Center

 
Supercomputers Help Researchers Design Cancer Models and Predict Treatment Outcomes

These are snapshots of a tumor model with tumor cells growing in a healthy tissue at two time points and under different nutrient conditions. Each proliferative cell gives rise to two identical daughter cells, they enter the quiescent state in which they await a signal to replicate. Cells under nutrient stress (hypoxic) eventually die. Programmed cell death (apoptosis) is shown in red. Credit: Rocha et. al. 2017

 
 
 

RELATED ARTICLES

UCL Technology Fund Investment MeiraGTx Raises $75 Million in IPO

News

MeiraGTx Holdings plc raised $75 million of gross proceeds upon close of the company’s initial public offering (IPO).

READ MORE

Big Data Study Targets Genomic Dark Matter from Ocean Floor to Gut Flora

News

An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.

READ MORE

Neurons Transmit More Than One Signal at a Time

News

Neuroscientists and statisticians found that a single neuron can encode information from two different sounds by switching between the signal associated with one sound and the signal associated with the other sound.

READ MORE

 

Like what you just read? You can find similar content on the communities below.

Cancer Research Drug Discovery

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE
 

We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience, read our Cookie Policy