Cheryl Platzman Weinstock is an award–winning journalist who reports about health and science research and its impact on society. Her investigative pieces have brought attention to mental health, medical ethics issues and the medical research gender gap. She also writes for the Metro desk of The New York Times.
Cheryl Platzman Weinstock
From this contributor
The deep emotional ties between depression and autism
Autistic people are four times as likely to experience depression over the course of their lives as their neurotypical peers. Yet researchers know little about why, or how best to help.
The deep emotional ties between depression and autism
By
Cheryl Platzman Weinstock
31 July 2019 | 14 min read
The hidden danger of suicide in autism
Many people with autism entertain thoughts of suicide and yet show few obvious signs of their distress. Some scientists are identifying risks — and solutions — unique to autistic individuals.
The hidden danger of suicide in autism
By
Cheryl Platzman Weinstock
8 August 2018 | 16 min read
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The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
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Marc Coutanche
13 November 2026 | 6 min read
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
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By
Claudia López Lloreda
12 November 2026 | 1 min watch
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
By
Giorgia Guglielmi
12 November 2026 | 4 min read