AIMC Topic: Schizophrenia, Treatment-Resistant
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Predicting treatment resistance in schizophrenia patients: Machine learning highlights the role of early pathophysiologic features.
Schizophrenia research
May 31, 2024
Detecting patients with a high-risk profile for treatment-resistant schizophrenia (TRS) can be beneficial for implementing individually adapted therapeutic strategies and better understanding the TRS etiology. The aim of this study was to explore, wi...
Plasma neurofilament light chain protein is not increased in treatment-resistant schizophrenia and first-degree relatives.
The Australian and New Zealand journal of psychiatry
Nov 17, 2021
OBJECTIVE: Schizophrenia, a complex psychiatric disorder, is often associated with cognitive, neurological and neuroimaging abnormalities. The processes underlying these abnormalities, and whether a subset of people with schizophrenia have a neuropro...
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