Progress in neuro-psychopharmacology & biological psychiatry
May 7, 2026
The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to its high prevalence and impact on prognosis and quality of life. However, evidence of its different... read more
PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest radiographs (CXR) for detecting osteoporosis and assess their potential for clinical implementation. METHODS: A systematic review and meta-analysis was ... read more
Large language models (LLMs) are increasingly integrated into healthcare, yet their clinical reliability depends not only on accuracy but also on confidence calibration. General-purpose models have demonstrated strong performance on medical knowledge... read more
Drug-device combinations (DDCs) have evolved from simple drug-coated implants into sophisticated intelligent platforms capable of real-time sensing, adaptive drug delivery, and closed-loop therapeutic control. This transformation is driven by converg... read more
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
May 7, 2026
Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and machine learning to elucidate the potential mechanisms of PAEs in lung squamous cell carcinoma (LUSC). B... read more
BACKGROUND: Pigs are increasingly used as translational models for auditory research due to anatomical and physiological similarities with humans. However, normative auditory brainstem response (ABR) parameters in commercial pig breeds remain poorly ... read more
The journal of prevention of Alzheimer's disease
May 7, 2026
BACKGROUND: Less women participate in Alzheimer Disease (AD) trials compared to their estimated representation in the global dementia population. OBJECTIVES: We aimed to apply five most commonly used eligibility criteria to a real-world memory clinic... read more
Road traffic accidents cause substantial fatalities and economic losses, yet large-scale severity analysis is often constrained by limited access to high-resolution roadway and geometric data. This study constructs a large-scale, multi-source dataset... read more
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