Emily Casanova is research assistant professor of biomedical sciences at the University of South Carolina School of Medicine Greenville.
Emily Casanova
Research assistant professor
University of South Carolina
From this contributor
How the autonomic nervous system may govern anxiety in autism
The branch of the nervous system that regulates subconscious bodily processes such as breathing and digestion may play a key role in autism.
How the autonomic nervous system may govern anxiety in autism
What Ehlers-Danlos syndrome can teach us about autism
Not much is known about the connection between autism and Ehlers-Danlos syndrome, a condition that affects collagen. But preliminary work provides tantalizing clues.
What Ehlers-Danlos syndrome can teach us about autism
Evolution of autism genes hints at their fundamental roles in body
Genes associated with autism are ancient, and mutations in them have wide-ranging effects on the body, indicating their importance.
Evolution of autism genes hints at their fundamental roles in body
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The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.