Depressive symptoms frequently co-occur in individuals with Mild Cognitive Impairment (MCI) and are thought to accelerate neurodegenerative progression. However, the underlying neural mechanisms of Depressed MCI (DMCI) remain largely unclear. This st... read more
BACKGROUND: EEG is widely used to identify neural markers, personalize treatments, and evaluate interventions. However, low signal-to-noise ratio and mixing of artifactual distorted interpretation. Traditional preprocessing approaches, including Inde... read more
Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology remains underexplored. This study evaluates GPT-5 and Gemini 2.5 Pro for cervical Pap test interpretation. Digital cervical Pap test images of 100 cases... read more
PURPOSE: To develop and validate a protocol-agnostic machine learning platform ("Predictive Planning") for knowledge-based planning (KBP) in external beam radiation therapy. METHODS AND MATERIALS: Five thousand three hundred thirty-four retrospective... read more
Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyroid cancer. Thyroid nodules in children present a higher risk of malignancy, more frequent lymph node and distant metastases, and distinct molecular pr... read more
1,2,3-Trichloropropane (TCP) is a persistent and highly toxic contaminant that poses substantial risks to groundwater systems. However, deriving groundwater-protective soil safety thresholds remains challenging because conventional empirical methods ... read more
The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause of cancer-related illness and death around the world. Success with the newest immunotherapy can only be achieved when the treatment targets the tumor a... read more
This study uniquely combines machine learning with structural equation modeling to investigate how self-criticism affects non-suicidal self-injury (NSSI) behaviors in adolescents. Using a Support Vector Machine (SVM) for binary classification (distin... read more
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