Michael Ehlers
Neuroscience Chief Scientific Officer
Pfizer
From this contributor
A cautionary tale for autism drug development
Poorly designed animal drug studies for motor disorders have led to spurious conclusions for the clinical trials that follow. This may be even more true for autism research, says Michael Ehlers.
SHANK mutations converge at neuronal junctions in autism
SHANK3, one of the strongest candidate genes for autism, has the potential to be a molecular entry point into understanding the synaptic, developmental and circuit origins of the disorder.
SHANK mutations converge at neuronal junctions in autism
Drug zone
Rodent and stem cell models remain challenging for developing psychiatric drugs, says Michael Ehlers, chief scientific officer of neuroscience at Pfizer.
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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.
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’
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.
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.