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Articles by Haiyang Su
Endoscopic-Assisted evacuation vs. burr-hole drainage for chronic subdural hematoma: a retrospective comparative study
Abstract Objective: This study aimed to compare the perioperative outcomes of endoscopic-assisted evacuation vs. burr-hole drainage methods in the chronic subdural hematoma (CSDH). Methods: This retrospective cohort study included consecutive surgical cases of CSDH treated at Shanxi Provincial People's Hospital. After eligibility screening, 40 patients who underwent endoscopic-assisted evacuation and 158 who underwent burr-hole drainage were included in the analysis.
Revealing the Way to Buying New Energy Vehicles: Green Perceived Value, Green Perceived Risk, Environmental Awareness, and Green Trust
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Fast Label‐Free Metabolic Profile Recognition Identifies Phenylketonuria and Subtypes
1 Introduction The United Nations Population Division projects that the global prevalence of inherited metabolic diseases (IMDs) per year will increase from 100 000 cases in 1950 to over 140 000 by 2040, due to the growth of the global population and the number of newborns.[1] Common IMDs amount to many species, with an accumulative incidence of ≈1/1000, resulting in irreversible mental retardation, physical handicaps, and even fatality to newborns.[1, 2] Phenylketonuria (PKU) is a typical...
A Self‐Enhancing Nanoreactor Reinforces Radioimmunotherapy by Reprogramming Nutrients and Redox Metabolisms
Abstract Altered metabolism of cancer cells reshapes the unique tumor microenvironment (TME) with glucose addiction and high antioxidant levels, resulting in a strong alliance to promote tumor progression and treatment failure. Herein, a Pd/Pt/Au tri-metallic mesoporous nanoparticle coated with pH-responsive tannic acid-iron ion (FeIIITA) network (PdPtAu@TF) is fabricated, aiming at reinforcing radioimmunotherapy by reprogramming nutrients and redox metabolisms.
Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
Abstract Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning of serum metabolic patterns to detect early-stage LA.
Plasmonic Janus hybrids for detection of small metabolites
Advanced bio-analytical platforms rely on materials with tailored structural parameters. Herein, we assembled plasmonic Janus hybrids for laser desorption/ionization mass spectrometry (LDI MS) detection of small metabolites. We applied Janus particles (periodic mesoporous organosilica (PMO) in conjunction with carbon spheres) as core materials and loaded silver nanoparticles as nanoshells.
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