Thursday, March 4, 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

New machine learning tool predicts schizophrenia

January 27, 2021
in Machine Learning
New machine learning tool predicts schizophrenia
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

University of Alberta researchers have taken another step forward in developing an artificial intelligence tool to predict schizophrenia by analyzing brain scans.

In recently published research, the tool was used to analyze functional magnetic resonance images of 57 healthy first-degree relatives (siblings or children) of schizophrenia patients. It accurately identified the 14 individuals who scored highest on a self-reported schizotypal personality trait scale.

You might also like

Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making

Companion Raises $8M Seed Round to Use Machine Learning and Computer Vision to Talk to Dogs

6 Ways Machine Learning Can Improve Supply Chain’s Bottom Line

Schizophrenia, which affects 300,000 Canadians, can cause delusions, hallucinations, disorganized speech, trouble with thinking and lack of motivation, and is usually treated with a combination of drugs, psychotherapy and brain stimulation. First-degree relatives of patients have up to a 19 per cent risk of developing schizophrenia during their lifetime, compared with the general population risk of less than one per cent.

Our evidence-based tool looks at the neural signature in the brain, with the potential to be more accurate than diagnosis by the subjective assessment of symptoms alone.”


Sunil Kalmady Vasu, Study Lead Author and Senior Machine Learning Specialist, Faculty of Medicine & Dentistry, University of Alberta

Kalmady Vasu noted that the tool is designed to be a decision support tool and would not replace diagnosis by a psychiatrist. He also pointed out that while having schizotypal personality traits may cause people to be more vulnerable to psychosis, it is not certain that they will develop full-blown schizophrenia.

“The goal is for the tool to help with early diagnosis, to study the disease process of schizophrenia and to help identify symptom clusters,” said Kalmady Vasu, who is also a member of the Alberta Machine Intelligence Institute.

The tool, dubbed EMPaSchiz (Ensemble algorithm with Multiple Parcellations for Schizophrenia prediction), was previously used to predict a diagnosis of schizophrenia with 87 per cent accuracy by examining patient brain scans.

It was developed by a team of researchers from U of A and the National Institute of Mental Health and Neurosciences in India. The team also includes three members of the U of A’s Neuroscience and Mental Health Institute–computing scientist and Canada CIFAR AI Chair Russ Greiner from the Faculty of Science, and psychiatrists Andrew Greenshaw and Serdar Dursun, who are authors on the latest paper as well.

Kalmady Vasu said next steps for the research will test the tool’s accuracy on non-familial individuals with schizotypal traits, and to track assessed individuals over time to learn whether they develop schizophrenia later in life.

Kalmady Vasu is also using the same principles to develop algorithms to predict outcomes such as mortality and readmissions for heart failure in cardiovascular patients through the Canadian VIGOUR Centre.

“Severe mental illness and cardiovascular problems cause functional disability and impair quality of life,” Kalmady Vasu said. “It is very important to develop objective, evidence-based tools for these complex disorders that afflict humankind.”

Source:

University of Alberta Faculty of Medicine & Dentistry

Journal reference:

Kalmady, S. V., et al. (2020) Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives. NPJ Schizophrenia. doi.org/10.1038/s41537-020-00119-y.

Credit: Google News

Previous Post

10-years-old Sudo bug lets Linux users gain root-level access

Next Post

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

Related Posts

Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making
Machine Learning

Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making

March 4, 2021
Companion Raises $8M Seed Round to Use Machine Learning and Computer Vision to Talk to Dogs
Machine Learning

Companion Raises $8M Seed Round to Use Machine Learning and Computer Vision to Talk to Dogs

March 3, 2021
6 Ways Machine Learning Can Improve Supply Chain’s Bottom Line
Machine Learning

6 Ways Machine Learning Can Improve Supply Chain’s Bottom Line

March 3, 2021
This Protein Therapeutics Company Integrates Wet Lab For High-Speed Characterization With Machine Learning Technologies To Guide The Search For Better Antibodies
Machine Learning

This Protein Therapeutics Company Integrates Wet Lab For High-Speed Characterization With Machine Learning Technologies To Guide The Search For Better Antibodies

March 3, 2021
Yum! Brands Acquires AI Company
Machine Learning

Yum! Brands Acquires AI Company

March 3, 2021
Next Post
Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

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

Google takes next steps towards ‘privacy-first’ web devoid of third-party cookies
Internet Security

Google takes next steps towards ‘privacy-first’ web devoid of third-party cookies

March 4, 2021
Replacing EDR/NGAV with Autonomous XDR Makes a Big Difference for Small Security Teams
Internet Privacy

Replacing EDR/NGAV with Autonomous XDR Makes a Big Difference for Small Security Teams

March 4, 2021
Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making
Machine Learning

Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making

March 4, 2021
The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021
Neural Networks

The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021

March 4, 2021
MarTech is nearly here – log on next week!
Digital Marketing

Get your free MarTech pass now

March 4, 2021
13 challenges creating an open, scalable, and secure serverless platform – IBM Developer
Technology Companies

13 challenges creating an open, scalable, and secure serverless platform – IBM Developer

March 4, 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?

  • Google takes next steps towards ‘privacy-first’ web devoid of third-party cookies March 4, 2021
  • Replacing EDR/NGAV with Autonomous XDR Makes a Big Difference for Small Security Teams March 4, 2021
  • Las Vegas Valley Water District Selects VODA.ai’s Machine Learning to Support Decision-Making March 4, 2021
  • The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021 March 4, 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