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An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study.

Eur J Nucl Med Mol Imaging

January 2025

Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu City, Sichuan Province, 610041, China.

Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.

Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.

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Background: Risk prediction models for depression in patients with coronary heart disease are increasingly being developed. However, the quality and applicability of these models in clinical practice remain uncertain.

Objective: To systematically evaluate depression risk prediction models in patients with coronary heart disease (CHD).

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Smart Directional Liquid Manipulation on Curvature-Ratchet Surfaces.

ACS Nano

January 2025

Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.

Structured surfaces leverage interfacial energy for directional liquid manipulation without external power, showing tremendous potential in microfluidics, green energy and biomedical applications. While the interplay of interfacial energy between solid surfaces and liquids is crucial for liquid manipulation, a systematic understanding of how the balance in liquid-solid interfacial energy affects liquid behaviors remains lacking. Here, using the curvature-ratchet surface as a generic example, we reveal the complex directional liquid dynamics inherent in the subtle regulation of liquid-solid interfacial energy.

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Background: Hypertension (HTN) is a global public health concern and a major risk factor for cardiovascular disease (CVD) and mortality. Insulin resistance (IR) plays a crucial role in HTN-related metabolic dysfunction, but its assessment remains challenging. The triglyceride-glucose (TyG) index and its derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable IR markers.

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High intraocular pressure (IOP) is an important risk factor for glaucoma, which is influenced by genetic and environmental factors. However, the etiology of high IOP remains uncertain. Metabolites are compounds involved in metabolism which provide a link between the internal (genetic) and external environments.

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