Kristin Sainani is associate teaching professor of epidemiology and population health at Stanford University in California.
Kristin Sainani
Teaching professor
Stanford University
From this contributor
Journal Club: Meta-analysis oversells popular autism screen
The Modified Checklist for Autism in Toddlers (M-CHAT) accurately flags autistic toddlers, a new systematic review and meta-analysis suggests, contrary to past evidence that the tool’s validity varies depending on a child’s age and traits. Experts weigh in on the discrepancy.
Journal Club: Meta-analysis oversells popular autism screen
Flawed methods undermine study on undiagnosed autism and suicide
The researchers attempted to retroactively identify signs of autism in people who died by suicide, but their analysis is not convincing.
Flawed methods undermine study on undiagnosed autism and suicide
Study links screen time to autism, but problems abound
The paper relied on parent-reported data and adjusted for few potentially confounding variables.
Study links screen time to autism, but problems abound
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Microglia implicated in infantile amnesia
The glial cells could explain the link between maternal immune activation and autism-like behaviors in mice, but methodological challenges prompt questions about the new evidence.
Microglia implicated in infantile amnesia
The glial cells could explain the link between maternal immune activation and autism-like behaviors in mice, but methodological challenges prompt questions about the new evidence.
Oligodendrocytes need mechanical cues to myelinate axons correctly
Without the mechanosensor TMEM63A, the cells cannot deposit the appropriate amount of insulation, according to a new study.
Oligodendrocytes need mechanical cues to myelinate axons correctly
Without the mechanosensor TMEM63A, the cells cannot deposit the appropriate amount of insulation, according to a new study.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.