Jen Monnier is an intern at Spectrum. She is a journalist in New York City, covering medicine, technology and ecosystems. She’s also a graduate student at New York University’s Science, Health and Environmental Reporting program.
Jen Monnier
From this contributor
Early interventions, explained
The accepted wisdom in autism research holds that early intervention offers the best promise for an autistic child’s well-being. But how effective are these therapies?
Multipart device monitors various senses in babies
A new assemblage of tools precisely gauges a baby’s biological response to sights, sounds and tactile stimuli all at once.
Multipart device monitors various senses in babies
New consortium may create projects, funding for autism research
A newly formed group of leaders from the U.S. National Institutes of Health (NIH) is poised to generate funding opportunities for child health research, including autism science.
New consortium may create projects, funding for autism research
Glowing capsule illuminates problems in gut
An ingestible electronic capsule enables researchers to instantaneously detect molecules associated with gastrointestinal issues.
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David Sussillo on persistence, luck and the bonds between life and work
In a Q&A about his new book, “Emergence,” Sussillo shares why he wrote it and how challenging circumstances shaped his journey into neuroscience.
David Sussillo on persistence, luck and the bonds between life and work
In a Q&A about his new book, “Emergence,” Sussillo shares why he wrote it and how challenging circumstances shaped his journey into neuroscience.
Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.