David Ledbetter is chief clinical officer of Dascena, a personalized medicine company.
David Ledbetter
Chief clinical officer
Dascena
From this contributor
There are no autism-specific genes, just brain genes
There is not yet a single example of a gene that, when mutated, increases the likelihood of autism but not of other neurodevelopmental conditions, including intellectual disability.
There are no autism-specific genes, just brain genes
By
David Ledbetter, Scott Myers
23 March 2021 | 5 min read
Developmental disorders should be viewed as continuum
Intellectual disability, autism, epilepsy and schizophrenia should be considered part of a spectrum of developmental brain dysfunction, says David Ledbetter.
Developmental disorders should be viewed as continuum
By
David Ledbetter
6 May 2013 | 3 min read
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
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Lauren Schenkman
20 May 2025 | 6 min read
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
By
Jill Adams
20 May 2025 | 2 min read
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
By
Alona Fyshe
19 May 2025 | 7 min read