Marisa Taylor is a senior correspondent on the KHN enterprise team. She investigates end-of-life care and acute medical care, among other health care topics.
Marisa Taylor
From this contributor

Immigrant children detained in U.S. may struggle to get health care
Thousands of children younger than 13 detained under U.S. border policy
The Trump administration has detained 2,322 children 12 years old or younger amid its border crackdown.

Thousands of children younger than 13 detained under U.S. border policy
Federal limits on medical marijuana research hinder treatments
By the time Ann Marie Owen turned to marijuana to treat her pain, she was struggling to walk and talk. She also hallucinated.

Federal limits on medical marijuana research hinder treatments
Trading controversy dogs health secretary nominee Tom Price
U.S. Health and Human Services secretary nominee Tom Price showed little restraint in his personal stock trading, despite the fact that a House committee he was on was under investigation.

Trading controversy dogs health secretary nominee Tom Price
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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.