Jyoti Madhusoodanan is a freelance science writer based in Portland, Oregon.

Jyoti Madhusoodanan
From this contributor
Confusion at the crossroads of autism and hearing loss
Hearing difficulties and autism often overlap, exacerbating autism traits and complicating diagnoses.

Confusion at the crossroads of autism and hearing loss
Mutations in cancer gene tied to unique autism traits
Autistic people who carry mutations in a gene called PTEN have distinct behavioral and motor problems.

Mutations in cancer gene tied to unique autism traits
Analysis finds little evidence to support dietary interventions for autism
Special diets that eliminate certain foods or contain added supplements have minimal impact on autism traits, according to a review of 27 clinical trials.

Analysis finds little evidence to support dietary interventions for autism
Studies of autism treatments lack standard yardsticks
Clinical trials of autism treatments rarely use a consistent set of tools to measure efficacy, making it tough to compare the treatments.

Studies of autism treatments lack standard yardsticks
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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.
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.
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.