Publications by authors named "C R Liao"

Background: The influenza virus's high mutation rate requires the annual reformulation and administration of the vaccine. Therefore, its vaccine effectiveness (VE) must be evaluated annually.

Aim: Estimate the effectiveness of the influenza vaccine and analyze the impact of age, seasonal variations, and the vaccination to sample collection interval on VE.

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Background: Since 2023, ChatGPT-4 has been impactful across several sectors including healthcare, where it aids in medical information analysis and education. Electronic patient-reported outcomes (ePROs) play a crucial role in monitoring cancer patients' post-treatment symptoms, enabling early interventions. However, managing the voluminous ePRO data presents significant challenges.

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TIGIT and PVRIG are immune checkpoints co-expressed on activated T and NK cells, contributing to tumor immune evasion. Simultaneous blockade of these pathways may enhance therapeutic efficacy, positioning them as promising dual targets for cancer immunotherapy. This study aimed to develop a bispecific antibody (BsAb) to co-target TIGIT and PVRIG.

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Background: Growth differentiation factor 15 (GDF15) is significantly correlated with glycolipid metabolic disorders. Increased GDF15 levels are associated with obesity, insulin resistance, and diabetes as well as a poorer diabetes progression and prognosis. This is a prospective cohort study investigated the association between circulating GDF15 and diabetic peripheral artery disease.

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Cine magnetic resonance imaging (Cine-MRI) may evaluate the swallowing function and locations of patients with dysphagia, which requires very fast imaging speed. Compressed sensing is a technique that allows for faster MRI imaging by sampling fewer data points and reconstructing the image via optimization techniques, crucial for capturing the rapid movements involved in swallowing. This study aimed to analyze swallowing function and locations in patients with head and neck cancer and healthy individuals using Cine-MRI based on compressed sensing.

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