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

Advertisement

Machine Learning Approach Identifies Potential Drug Candidates To Treat COVID-19

News   Aug 13, 2020 | Original story from University of California, Riverside

 
Machine Learning Approach Identifies Potential Drug Candidates To Treat COVID-19
 
 
Advertisement
 

RELATED ARTICLES

Artificial Neural Network Investigates How Decision Making Is Altered in Schizophrenia

News

Scientists have built a computer 'brain circuit', or artificial neural network, that mirrors human decision-making processes and sheds light on how circuits might be altered in psychiatric diseases, a new study published today in eLife reports.

READ MORE

Computer Model Finds the Right Balance for Parkinson's Medication

News

As Parkinson's disease progresses, more levodopa is required to treat it. Too much, however, can lead to uncontrollable, involuntary bodily movements. To better understand the underlying reasons behind these effects, researchers created a model of the interactions between levodopa, dopamine, and the brain.

READ MORE

How Aging Impacts the Genome

News

In a paper published in Cell Reports, scientists led by Johan Auwerx at EPFL asked a simple question: how do the tissues of aging mice differ from those of mice that are mere adults?

READ MORE

 

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

Drug Discovery Informatics Immunology & Microbiology

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

LOGIN SUBSCRIBE FOR FREE