ESMO real world data and digital oncology
Apr 14, 2026
BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth factor receptor 2 (HER2) is essential for managing breast cancer (BC) patients, as these biomarkers guide targeted therapies. Traditional methods such as... read more
ESMO real world data and digital oncology
Apr 14, 2026
BACKGROUND: Lack of readily available recurrence data has limited the use of electronic health records (EHR) for risk assessment of cancer recurrence and optimal patient management. This study aims to derive high-quality EHR recurrence data and estim... read more
Computer methods and programs in biomedicine
Apr 14, 2026
BACKGROUND AND OBJECTIVES: Three-dimensional (3D) reconstruction from X-ray coronary angiograms could enhance diagnosis and guide treatment of coronary artery disease. This study investigates the feasibility of applying Neural Radiance Field (NeRF), ... read more
Antimicrobial resistance continues to limit the number of effective antimicrobials to treat bacterial infections. The development of antimicrobials with unique mechanisms of action is crucial to overcoming this threat. By employing various methods of... read more
International journal of medical informatics
Apr 14, 2026
OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to telemonitoring data for timely decision support systems (DSS). We propose an end-to-end DSS framework to enable clinicians to intervene proactively by ge... read more
Food research international (Ottawa, Ont.)
Apr 14, 2026
With escalating demands for food quality and safety, traditional packaging technologies grapple with challenges in meeting the dual requirements of efficient preservation and real-time monitoring. Due to advantages such as controllable excitation, no... read more
Accurate and rapid prediction of water levels in urban drainage systems remains a key challenge due to sparse sensor coverage, complex hydraulic interactions, and uncertain rainfall inputs. Traditional hydrodynamic models often rely on detailed rainf... read more
BACKGROUND: Prognostic information is essential for decision-making in breast cancer management. In recent years, trials and clinical practice have emphasized genomic prognostication tools, despite clinicopathological methods being more affordable an... read more
BACKGROUND: Technology-facilitated sexual violence and abuse (TFSVA) encompasses sexual harms perpetrated through digital means. Rapid developments in this field pose challenges in precisely defining and measuring TFSVA. Consequently, existing measur... read more
The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to harness this for public health planning and to address health inequalities is constrained by systemic data quality issues. Modern natural language pro... read more
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