Lauren Weiss is professor of psychiatry at the University of California, San Francisco.
Lauren Weiss
Associate professor
University of California, San Francisco
From this contributor
Complex gene interactions in autism offer avenues for treatment
Teasing out how genes interact can offer clues to autism’s causes and point to treatment targets.
Complex gene interactions in autism offer avenues for treatment
By
Lauren Weiss
23 May 2017 | 6 min read
Fair representation for the fairer sex in autism research
Including more females in autism research studies will aid the search for genetic and environmental susceptibility factors for the disorder, says genetic psychiatrist Lauren Weiss.
Fair representation for the fairer sex in autism research
By
Lauren Weiss
16 August 2011 | 6 min read
Explore more from The Transmitter
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
By
Jill Adams
3 December 2024 | 1 min read
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
By
Giorgia Guglielmi
3 December 2024 | 5 min read
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
By
Mark Humphries
2 December 2024 | 8 min read