OBJECTIVES: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD) patients responsible for the top quartile of healthcare spending. METHODS: De-identified commercial claims (2016-2018) from ~267 000 continuously enr... read more
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income countries (LMICs), concerns persist regarding the use of quality routine health data for health servi... read more
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's esophagus (BE). However, the cost-effectiveness of AI-assisted BE surveillance has not been evaluated.A Markov model simulated 1000 Australian individ... read more
Psychotherapie, Psychosomatik, medizinische Psychologie
Feb 27, 2026
In recent years, artificial intelligence (AI) has made great progress in medicine, particularly in the analysis of medical imaging data. Its potential as an analytical tool for psychology and psychotherapy, however, has received comparatively little ... read more
This study identifies diagnostic biomarkers of OA-related synovitis from synovial tissue expression and develops a validated diagnostic nomogram (differentially expressed genes = differentially expressed genes; single-sample gene set enrichment analy... read more
Early diagnosis of Chagas disease plays a vital role in enabling timely treatment and reducing the likelihood of underlying severe cardiovascular complications. Electrocardiogram (ECG) signals contain vital information that reflects cardiac disease p... read more
The discovery of high-performing nonfullerene acceptors (NFAs) for organic solar cells (OSCs) is challenged by the vastness of chemical space and the need to satisfy multiple tightly coupled electronic criteria. Here, we present a physics-informed ge... read more
ConspectusThe field of covalent drug discovery has witnessed a remarkable resurgence in recent years, a trend underscored by the approval of more than 125 covalent drugs by the US FDA as of 2025, which demonstrates their immense therapeutic potential... read more
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and healthcare, raising questions about how students use these technologies and how AI influences their learning. In health education, understanding these trends is pa... read more
Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on digital-to-analog converters and analog-to-digital converte... read more
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