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Machine learning algorithm identifies three unique autism subtypes in males

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Summary
Nutrition label

81% Informative

Researchers at Chongqing University of Posts and Telecommunications identified three main subtypes of autism spectrum disorder in males.

Each subtype has unique brain structure patterns and behavioral traits.

The researchers used a dataset called the Autism Brain Imaging Data Exchange , which includes magnetic resonance imaging data for individuals with autism and healthy individuals as a control group.

The researchers hope to build on their findings by incorporating data from other brain imaging and conducting long-term studies to see how these brain patterns change over time in relation to behavior and cognition.

By expanding the data and exploring additional brain network properties, they hope to develop diagnostic tools that can detect autism subtypes more quickly and precisely.

VR Score

92

Informative language

98

Neutral language

71

Article tone

semi-formal

Language

English

Language complexity

80

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

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