Rahul Rao is a freelance science writer, graduate of New York University’s Science, Health and Environmental Reporting Program, and “Doctor Who” fan.
Rahul Rao
From this contributor
Web app tracks pupil size in people, mice
The app relies on artificial intelligence and could help researchers standardize studies of pupil differences in autistic people and in mouse models of autism.
New library catalogs the human gut microbiome
Researchers put hundreds of gut bacteria strains through their paces to chart the compounds each creates — and to help others explore the flora's potential contribution to autism.
New unified toolbox traces, analyzes neurons
‘SNT’ helps researchers sift through microscope images to reconstruct and analyze neurons and their connections.
Explore more from The Transmitter
‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.