Machine learning-enabled detection of electrophysiological signatures in iPSC-derived models of schizophrenia and bipolar disorder is a research paper published in APL Bioengineering (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.
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National Institute of Mental Health
Grant: 113858
National Institute of Mental Health
Grant: 086846
National Institute of Neurological Disorders and Stroke
Grant: 133965
NIMH NIH HHS
Grant: K08 MH086846
NIMH NIH HHS
Grant: R01 MH113858
NINDS NIH HHS
Grant: R01 NS133965
National Institutes of Health
Grant: 5R01MH113858-03
Ex vivo signature of psychosis and treatment response in patient-derived neurons
National Institutes of Health
Grant: 5R01NS133965-02
High-throughput neurovascular-unit-on-a-chip with OASIS for modeling Parkinson's disease
National Institutes of Health
Grant: 5K08MH086846-05
Wnt/GSK3/beta Catenin Signaling as a Target for Treatment of Bipolar Disorder
FWCI
0.99
Citation Percentile
0.8%
Citation Trend
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