AIMC Topic: Clozapine

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Deep Learning-Assisted SERS for Therapeutic Drug Monitoring of Clozapine in Serum on Plasmonic Metasurfaces.

Nano letters Mar 20, 2025
Clozapine is widely regarded as one of the most effective therapeutics for treatment-resistant schizophrenia. Despite its proven efficacy, the therapeutic use of clozapine is complicated by its narrow therapeutic index, which necessitates rapid and p...
Neural Networks, Computer Deep Learning Schizophrenia Humans Clozapine Spectrum Analysis, Raman Antipsychotic Agents Drug Monitoring
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Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia.

Translational psychiatry Feb 14, 2025
We apply machine learning techniques to navigate the multifaceted landscape of schizophrenia. Our method entails the development of predictive models, emphasizing peripheral inflammatory biomarkers, which are classified into treatment response subgro...
Humans Machine Learning Biomarkers Antipsychotic Agents Case-Control Studies Inflammation Schizophrenia Clozapine Support Vector Machine Male Female Middle Aged Adult
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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...
Schizophrenia Alzheimer Disease Frontotemporal Dementia Intermediate Filaments Neurofilament Proteins Child Humans Clozapine Schizophrenia, Treatment-Resistant Neurodegenerative Diseases Biomarkers
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FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space.

Molecules (Basel, Switzerland) Apr 3, 2021
The question of molecular similarity is core in cheminformatics and is usually assessed via a comparison based on vectors of properties or molecular fingerprints. We recently exploited variational autoencoders to embed 6M molecules in a chemical spa...
Clozapine Floxacillin Deep Learning Cluster Analysis Cheminformatics Learning Curve Software Temperature
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Predicting hospital-acquired pneumonia among schizophrenic patients: a machine learning approach.

BMC medical informatics and decision making Mar 13, 2019
BACKGROUND: Medications are frequently used for treating schizophrenia, however, anti-psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to build a model for predicting hospital-acquired pneumonia among schizophren...
Antipsychotic Agents Hospitals, Psychiatric Healthcare-Associated Pneumonia Schizophrenia Clozapine Comorbidity Decision Trees Aged Aged, 80 and over Male Middle Aged Adult Humans Female Machine Learning Risk Factors
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A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapy.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Aug 27, 2014
OBJECTIVE: To develop a machine learning (ML) methodology based on features extracted from odd-ball auditory evoked potentials to identify neurophysiologic changes induced by Clozapine (CLZ) treatment in responding schizophrenic (SCZ) subjects. This ...
Electroencephalography Schizophrenia Antipsychotic Agents Humans Evoked Potentials, Auditory Artificial Intelligence Clozapine Young Adult Treatment Outcome Female Adult Middle Aged Follow-Up Studies Aged Male Adolescent
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