This protocol details the extraction of ICU clinical data from the MIMIC-IV database and the stepwise application of survival analysis and interpretable machine-learning models to evaluate serum albumin as a predictor of 28-day mortality in lung cancer patients.

albumin-machine-learning-model-for-predicting-28-day-all-cause

Albumin and Machine Learning Model for Predicting 28-day All-cause Mortality in ICU Patients with Lung Cancer

Serum albumin reflects nutritional status, systemic inflammation, and disease burden. However, its prognostic significance in critically ill patients with ...

This article presents a detailed protocol for in situ laser fenestration for revascularization of the left subclavian artery during thoracic endovascular aortic repair, along with an analysis of midterm clinical outcomes. The experience is intended to provide fellow practitioners with insights into its clinical application.

in-situ-laser-fenestration-for-revascularization-left-subclavian

In Situ Laser Fenestration for Revascularization of the Left Subclavian Artery in Diseases of the Aortic Arch

Thoracic endovascular aortic repair (TEVAR) has become a widely established treatment for aortic arch pathologies in recent years. However, lesions near ...

This protocol describes the application of mitochondria-targeted genetically encoded voltage indicators (GEVIs). These GEVIs offer a significant advantage over traditional mitochondrial membrane potential dyes by enabling specific, in vivo, and real-time monitoring of mitochondrial membrane potential.

measurement-mitochondrial-membrane-potential-vivo-using-genetically

Measurement of Mitochondrial Membrane Potential In Vivo using a Genetically Encoded Voltage Indicator

Mitochondrial membrane potential (MMP, &#916;&#936;m) is critical for mitochondrial functions, including ATP synthesis, ion transport, reactive oxygen ...

Institution - the First Affiliated Hospital of Zhengzhou University

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