Accurately predicting drug-target interaction (DTI) is critical for drug discovery and development. Existing methods typically rely on the atomic structure or molecular graphs of drugs, along with amino acid sequences of target proteins, to extract f... read more
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Apr 1, 2026
BACKGROUND AND PURPOSE: Muscle loss during adjuvant radiotherapy is associated with poor survival outcomes in patients with oral cavity cancer (OCC). This study aimed to develop and validate an explainable machine learning model to predict muscle los... 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
OBJECTIVE: To explore the role of reinforcement learning (RL) in vision-language models (VLMs) for cardiovascular disease (CVD) decision support and assess whether RL-enhanced multimodal reasoning improves clinical classification performance and inte... read more
BACKGROUND AND AIMS: The identification of prefrailty, a reversible state of vulnerability in older adults, remains a clinical challenge. Arterial stiffness-a hallmark of vascular aging-has been implicated in frailty, suggesting shared pathophysiolog... read more
OBJECTIVES: This study aimed to develop and validate an artificial intelligence (AI)-based model for quantitatively assessing gingival display during smiling using standardized extraoral photographs. The goal was to establish an objective and reprodu... read more
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: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently underdiagnosed disease in which delay in diagnosis limits the efficacy of treatments. Artificial intelligence (AI) applied to standard 12-lead electrocardiograms (ECGs) is pro... read more
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