AIMC Topic: Schizophrenia
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Exposotypes in psychotic disorders.
Scientific reports
Aug 8, 2025
Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction compared to the rest of medicine. Etiological factors such as childhood trauma (CHT), substance use (SU), and socioeconomic status (SES) significantly ...
A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning.
Scientific reports
Aug 5, 2025
In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect serum Raman spectra from schizophrenic and healthy individuals, classified them based on four convolutional neural networks, and developed an assisted s...
An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.
BMC psychiatry
Aug 4, 2025
BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional statistical approac...
AI-based prediction of depression symptomatology in first-episode psychosis patients: insights from the EUFEST and RAISE-ETP clinical trials.
Psychological medicine
Jul 30, 2025
BACKGROUND: Depressive symptoms are highly prevalent in first-episode psychosis (FEP) and worsen clinical outcomes. It is currently difficult to determine which patients will have persistent depressive symptoms based on a clinical assessment. We aime...
Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.
Scientific reports
Jul 28, 2025
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def...
A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.
Scientific reports
Jul 23, 2025
Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders (MHDs) that spread in every country around the world. These mental and behavioral problems primarily affect the mind and brain that change emotions an...
Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.
Psychological medicine
Jul 23, 2025
BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focu...
Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.
Scientific reports
Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin...
Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.
Translational psychiatry
Jul 12, 2025
Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosis, capturing symptoms like thought disorder and flattened affect. Recent advancements in Natural Lan...
Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.
Scientific reports
Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
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