Tuesday, March 2, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Machine Learning: An Answer to Coronavirus

April 1, 2020
in Machine Learning
Machine Learning: An Answer to Coronavirus
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

We have seen terrible diseases get cured by modern sciences in movies or fascinated over the idea of fighting off the spread of illness in VR or Simulation games. However, the coronavirus is a reality against which human civilization is leaving no tables unturned to win this game. Here our choice of weapons is AI-based Machine Learning and Big Data Analytics.

You might also like

Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ

The case for Bayesian Learning in mining

Government trialling machine learning tech to detect pests at shipping ports

In the healthcare sector, Machine Learning can be viewed as a resource that has the scope to process huge datasets beyond the capability of human minds and the inferred insights help physicians in planning and providing care to get satisfactory treatment. Researchers are looking to discover potential treatment solutions by investigating the already approved drug database and new compounds. While the traditional methods of drug discovery and development cost both time and money, experts rely on Computer-Aided Drug Design (CADD) as a method for developing candidate drugs for the treatment of many types of diseases. It is a computational approach to discover, develop, enhance and analyze drugs and similar biologically active molecules. This approach entails a vast amount of computational methodologies like virtual screening, virtual library design, lead optimization, de novo design and is used for rapid assessment of chemical libraries about compounds to guide and speed up the early-stage development of the new active biological compound.

Recently, two graduates of the Data Science Institute (DSI) at Columbia University are using this tech to quickly discover treatments for the novel coronavirus. Andrew Satz and Brett Averso (CEO and CTO respectively) of a 12-member startup called EVQLV claim that conducting antibody discovery in a lab can take years, an average of five years, and half a billion dollars to find high affinity and optimize antibodies.

“What our algorithms do is reduce the likelihood of drug-discovery failure in the lab,” Satz informed the institute newsgroup. “We fail on the computer as much as possible to reduce the possibility of downstream failure in the laboratory. And that shaves a significant amount of time from laborious and time-consuming work.”

Now EVQLV is working in collaboration with Immunoprecise Antibodies (IPA), a company focused on the discovery of therapeutic antibodies. Together they submitted their first panel of candidate therapeutic antibody sequences, comprised of DNA sequences encoding for potentially therapeutic antibodies against the new coronavirus, SARS-CoV-2.

“As new insights into SARS-CoV-2 are captured by researchers around the world, we are applying these insights in an attempt to generate an efficacious and sustainable therapy. The submission of the first panel of antibody sequences by EVQLV is an important milestone,” stated Dr. Jennifer Bath, CEO of IPA.

Although EVQLV has significantly minimized the initial phase of drug discovery, given the international urgency researchers are optimistic that possible treatment will be available by year-end.

While the stats about people tested positive keep fluctuating daily, it is only a matter of time till we find a bulletproof cure against this gruesome virus that has already claimed nearly 40k lives on a global scale. Till then stay indoors, practice clean habits, wait patiently till Machine Learning saves the day.

Share This Article


Do the sharing thingy

Credit: Google News

Previous Post

Chinese COVID-19 disinformation campaigns commenced as early as January: Stanford

Next Post

Hackers Install Secret Backdoor on Thousands of Microsoft SQL Servers

Related Posts

Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ
Machine Learning

Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ

March 2, 2021
The case for Bayesian Learning in mining
Machine Learning

The case for Bayesian Learning in mining

March 2, 2021
Government trialling machine learning tech to detect pests at shipping ports
Machine Learning

Government trialling machine learning tech to detect pests at shipping ports

March 2, 2021
Ask the Expert: What’s New in Azure Machine Learning | Ask the Expert
Machine Learning

Ask the Expert: What’s New in Azure Machine Learning | Ask the Expert

March 2, 2021
Machine Learning Cuts Through the Noise of Quantum Computing
Machine Learning

Machine Learning Cuts Through the Noise of Quantum Computing

March 2, 2021
Next Post
Hackers Install Secret Backdoor on Thousands of Microsoft SQL Servers

Hackers Install Secret Backdoor on Thousands of Microsoft SQL Servers

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ
Machine Learning

Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ

March 2, 2021
Australia’s new ‘hacking’ powers considered too wide-ranging and coercive by OAIC
Internet Security

Australia’s new ‘hacking’ powers considered too wide-ranging and coercive by OAIC

March 2, 2021
DSC Weekly Digest 01 March 2021
Data Science

DSC Weekly Digest 01 March 2021

March 2, 2021
The case for Bayesian Learning in mining
Machine Learning

The case for Bayesian Learning in mining

March 2, 2021
Scientists have built this ultrafast laser-powered random number generator
Internet Security

Scientists have built this ultrafast laser-powered random number generator

March 2, 2021
Companies in the Global Data Science Platforms Resorting to Product Innovation to Stay Ahead in the Game
Data Science

Companies in the Global Data Science Platforms Resorting to Product Innovation to Stay Ahead in the Game

March 2, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Opportunity, Trends, Share, Top Companies Analysis (Based on 2021 COVID-19 Worldwide Spread) – NeighborWebSJ March 2, 2021
  • Australia’s new ‘hacking’ powers considered too wide-ranging and coercive by OAIC March 2, 2021
  • DSC Weekly Digest 01 March 2021 March 2, 2021
  • The case for Bayesian Learning in mining March 2, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates