Publications by authors named "G Lai"

Background: Tandem mass spectrometry (MS/MS) is a crucial technique for detecting inborn errors of metabolism (IEM) in newborns. However, the high false positive rate poses challenges in diagnosing specific types of diseases. Therefore, this study aimed to evaluate the role of targeted next-generation sequencing (NGS) in the accurate diagnosis of positive samples identified through MS/MS screening.

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In recent years, the use of smartphones has significantly increased among populations of almost every age. The aim of our work is to analyze the impact of an application (app) that follows up with the progress of a patient who underwent a thoracic surgery procedure in the first 30 days after discharge. We prospectively analyzed all the patients included in the pilot study from March 2023 to September 2023.

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Anthocyanins are significant secondary metabolites that are essential for plant growth and development, possessing properties such as antioxidant, anti-inflammatory, and anti-cancer activities and cardiovascular protection. They offer significant potential for applications in food, medicine, and cosmetics. However, since anthocyanins are mainly obtained through plant extraction and chemical synthesis, they encounter various challenges, including resource depletion, ecological harm, environmental pollution, and the risk of toxic residuals.

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A pressing need for enhancing lithium-ion battery (LIB) performance exists, particularly in ensuring reliable operation under extreme cold conditions. All-solid-state batteries (ASSBs) offer a promising solution to the challenges posed by conventional LIBs with liquid electrolytes in low-temperature environments. In this study, leveraging the benefits of amorphous solid-state electrolytes (SSEs) xLiN-TaCl (1 ≤ 3x ≤ 2), we develop ASSBs capable of functioning effectively under extreme cold conditions.

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An abundant amount of colon cancers is diagnosed every year, accounting for 9% of malignant tumors. Even with the progress of relevant research, the 5-year survival rate for colon cancer is still less than 60%, indicating that improving the prognosis of colon cancer is still a challenge that needs to be overcome. This study employed the algorithm "scissor" to integrate the single-cell sequencing data and bulk transcriptome data with prognosis information to predict prognosis-associated cells (PAC).

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